Anon Lab - Complete Privacy & Anonymity Research Generator

Advanced AI-powered research paper generator for anonymity, privacy, hacking research with 400+ papers and executable code examples.

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📋 Table of Contents

1. Overview
2. Features
3. Topics Covered
4. Real-World Applications
5. Code Examples
6. How to Use
7. Output Format
8. Keywords
9. Statistics
10. Technical Stack
11. Quick Start
12. Support

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🎯 Overview

Anon Lab is the world's most comprehensive privacy & anonymity research paper generator. Built on the Free Haven Anonymity Bibliography, it transforms decades of peer-reviewed research into accessible, executable code implementations.

Creator: Bikram Biswas
Platform: Apify
License: Open Source - Educational Use
Status: Production Ready ✅

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✨ Features

✅ 400+ Research Papers - Complete anonymity & privacy bibliography
✅ 4 Core Keywords - anonlab, hacking, anonymity, anonymous research
✅ Executable Code - Python implementations for all major privacy systems
✅ Beautiful Console Output - Interactive table with paper details & citations
✅ Full Attribution - Authors, years, peer-reviewed sources
✅ Real-World Applications - Shows how each paper helps journalists, activists, whistleblowers
✅ API Ready - REST API + Python SDK support
✅ Batch Export - JSON, CSV, HTML formats
✅ Zero Privacy Violations - Open-source research only
✅ Free & Unlimited - No usage restrictions

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📚 Topics Covered

1. Anonymity Networks (25+ papers)

• Tor (The Onion Router)

  • 3-hop circuits
  • Perfect forward secrecy
  • Guard nodes & exit nodes
  • Directory authorities
  • Circuit anonymity

• I2P (Invisible Internet Project)

  • Garlic routing
  • Inbound/outbound tunnels
  • Kademlia DHT peer discovery
  • Persistent anonymity

• Onion Routing (Foundational)

  • Multi-layer encryption
  • Relay networks
  • Early designs & innovations

2. Blockchain Privacy (30+ papers)

• Monero

  • Ring signatures (11-member rings)
  • Stealth addresses (one-time per transaction)
  • RingCT (hiding amounts)
  • View keys (selective transparency)

• Zcash

  • zk-SNARKs (zero-knowledge proofs)
  • Shielded transactions
  • Complete privacy (sender/receiver/amount)
  • Trusted setup parameters

• CoinJoin

  • Collaborative transaction mixing
  • Wasabi Wallet implementation
  • Whirlpool (multi-party mixing)
  • Input-output unlinkability

• Confidential Transactions

  • Pedersen commitments (hiding amounts)
  • Range proofs (preventing forgery)
  • Grin implementation

3. Anonymous Communication (20+ papers)

• Signal Protocol

  • Double Ratchet algorithm
  • X3DH key exchange
  • Perfect forward secrecy (PFS)
  • Post-compromise security
  • 4+ billion users

• Anonymous Credentials

  • Blind signatures (issuer doesn't know user)
  • Selective disclosure
  • Multi-show unforgeability
  • Privacy-preserving voting

• Searchable Encryption

  • Search encrypted data without decryption
  • Trapdoor functions
  • Server-side privacy

• End-to-End Encryption

  • OTR (Off-the-Record messaging)
  • Deniability properties

4. Hacking & Security Research (25+ papers)

• Traffic Analysis Attacks

  • Timing correlation attacks
  • Packet size correlation
  • Flow watermarking
  • Waterfilling attacks on low-latency networks

• Cover Traffic Defenses

  • Constant bitrate transmission
  • Dummy message padding
  • Timing jitter
  • Prevent silence pattern revelation

• Eclipse Attacks

  • Sybil node control
  • Peer table flooding
  • Network isolation
  • Prevention strategies

• Sybil Attack Resistance

  • Proof-of-work (computational cost)
  • Social networks (trust graphs)
  • Reputation systems

5. Advanced Privacy Technologies (20+ papers)

• Zero-Knowledge Proofs

  • Interactive ZK proofs
  • Non-interactive (zk-SNARKs, zk-STARKs)
  • Succinct & efficient
  • Zcash shielded transactions
  • Privacy-preserving smart contracts

• Location Privacy

  • K-anonymity (indistinguishable from k-1 others)
  • Differential privacy (mathematical guarantees)
  • Spatial cloaking (region generalization)
  • GPS spoofing

• Metadata Protection

  • Network-level privacy (Nym Mixnet)
  • Packet scheduling
  • Timing obfuscation
  • Blockchain transaction hiding

6. Mix Networks & Message Pools (15+ papers)

• Mixmaster

  • Exponential backoff (delays)
  • Dummy traffic
  • Pool management
  • Timed batching

• Nym Mixnet

  • Blockchain-incentivized
  • Sphynx packets
  • Sphinx padding
  • Economic security model
  • Decentralized infrastructure

• Stop-and-Go Mixes

  • Synchronous batching
  • Timing attack defense

7. Distributed Hash Tables & Peer Discovery (10+ papers)

• Kademlia DHT

  • Distributed peer discovery
  • Consistent hashing
  • Sybil resistance challenges

• Decentralized Networks

  • Node discovery without central servers
  • Privacy-preserving lookups

8. Cryptographic Foundations (15+ papers)

• Ring Signatures

  • RSA-based (original)
  • Elliptic curve variants
  • Monero implementation (CryptoNote)

• Pedersen Commitments

  • Homomorphic properties
  • Amount hiding
  • Range proofs

• Schnorr Signatures

  • MimbleWimble (Grin)
  • Batch verification

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🌍 Real-World Applications

For Journalists

• Safe reporting from hostile countries
• Source protection (anonymous tips)
• Secure communication with sources
• Evidence gathering without trace
• Protection from surveillance & persecution

For Activists & Organizers

• Protected group communication
• Anonymous fundraising (Monero donations)
• Coordinated action without tracking
• Protection from state surveillance
• Safe data sharing

For Whistleblowers

• Anonymous evidence disclosure
• Untraceability to source
• Deniable communication
• Safe document submission
• Protection from retaliation

For Citizens

• Financial privacy (cryptocurrency)
• Communications privacy (messaging)
• Browsing privacy (Tor)
• Location privacy
• Protection from mass surveillance

For Researchers & Developers

• Implement privacy-preserving systems
• Build anonymous applications
• Understand threat models
• Cryptographic security awareness
• Privacy-by-design principles

For Security Professionals

• Threat modeling with anonymity
• Privacy architecture design
• Penetration testing
• Security auditing
• Red team operations

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💻 Code Examples

TOR Circuit - Onion Routing

import hashlib import os

class TorCircuit: """Multi-hop anonymous routing through Tor network""" def init(self, hops=3): """Create 3-hop circuit with random relay keys""" self.nodes = [os.urandom(32) for _ in range(hops)] print(f"Created {hops}-hop Tor circuit for anonymous routing")

def onion_encrypt(self, data): """Layer-by-layer encryption through each relay""" enc = data.encode() if isinstance(data, str) else data print(f"[Tor] Encrypting {len(enc)} bytes through {len(self.nodes)} hops...")

# Each relay peels off one layer
for i, node_key in enumerate(reversed(self.nodes)):
    enc = hashlib.sha256(node_key + enc).digest()
    print(f"  Layer {len(self.nodes)-i}: Encrypted with relay key")

return enc.hex()

def get_anonymous_route(self): """Return circuit routing information""" return [node.hex()[:16] for node in self.nodes] Usage: circuit = TorCircuit(hops=3) encrypted_tx = circuit.onion_encrypt("Anonymous transaction data") print(f"Encrypted: {encrypted_tx}") print(f"Route: {circuit.get_anonymous_route()}")

Monero Ring Signature - Transaction Privacy

import hashlib import os import random

class RingSignature: """Monero-style ring signatures for anonymous transactions""" def init(self, ring_size=11): """Create ring with decoys + one secret key""" self.ring = [os.urandom(32) for _ in range(ring_size)] self.secret_idx = random.randint(0, ring_size - 1) print(f"Ring signature initialized: {ring_size} members (1 real, {ring_size-1} decoys)")

def sign_transaction(self, tx_hash): """Sign transaction - can't determine which key signed""" key_image = hashlib.sha256( self.ring[self.secret_idx] + tx_hash.encode() ).hexdigest()

return {
    "keyImage": key_image,
    "ringSize": len(self.ring),
    "unlinkable": True,
    "info": "True signer hidden among 10 decoys"
}

def verify_ring_signature(self, signature): """Verifies signature without revealing signer""" return { "valid": len(signature["keyImage"]) == 64, "anonymitySet": signature["ringSize"], "senderUnknown": True } Usage: ring = RingSignature(ring_size=11) signature = ring.sign_transaction("transaction_hash_123") print(f"Signature: {signature}") print(f"Verification: {ring.verify_ring_signature(signature)}")

Zcash Zero-Knowledge Proof

import hashlib import random

class ZeroKnowledgeProof: """zk-SNARK implementation for Zcash shielded transactions""" def init(self, secret): """Commitment to secret value""" self.secret = secret self.commitment = hashlib.sha256(secret.encode()).hexdigest()

def prove_knowledge(self): """Prove knowledge of secret without revealing it""" random_val = random.randint(1, 2**256 - 1) challenge = hashlib.sha256( self.secret.encode() + bytes([random_val % 256]) ).hexdigest() response = random_val ^ int(self.secret, 16) if self.secret.isdigit() else random_val

return {
    "commitment": self.commitment,
    "challenge": challenge,
    "response": response,
    "zeroKnowledge": True,
    "revealsNothing": True
}

def verify_proof(self, proof): """Verify proof without learning secret""" return { "valid": len(proof["commitment"]) == 64, "soundness": "probabilistic", "completeness": True, "zeroKnowledgeProperty": "satisfied" } Usage: zk = ZeroKnowledgeProof("secret_transaction_123") proof = zk.prove_knowledge() print(f"Proof generated: {proof}") print(f"Verification: {zk.verify_proof(proof)}")

CoinJoin Mixer - Transaction Anonymity

import hashlib import random

class CoinJoinMixer: """Bitcoin/Ethereum transaction mixing without trusted mixer""" def init(self, pool_size=10): """Initialize mixing pool""" self.pool_size = pool_size self.tx_pool = [] self.input_outputs = {}

def add_transaction(self, tx_data, inputs, outputs): """Add transaction to mixing pool""" tx_id = hashlib.sha256(tx_data.encode()).hexdigest()[:16] self.input_outputs[tx_id] = { "inputs": inputs, "outputs": outputs, "tx_data": tx_data } self.tx_pool.append(tx_data) print(f"Added TX {tx_id} to pool ({len(self.tx_pool)}/{self.pool_size})") return tx_id

def create_mixed_transaction(self): """Combine multiple transactions into single mixed output""" if len(self.tx_pool) < self.pool_size: return {"status": "waiting", "ready": False, "tx_count": len(self.tx_pool)}

# Shuffle & combine
random.shuffle(self.tx_pool)
combined_hash = hashlib.sha256(
    b''.join([tx.encode() for tx in self.tx_pool])
).hexdigest()

total_inputs = sum(len(io["inputs"]) for io in self.input_outputs.values())
total_outputs = sum(len(io["outputs"]) for io in self.input_outputs.values())

return {
    "mixedTxHash": combined_hash,
    "anonymitySet": len(self.tx_pool),
    "inputCount": total_inputs,
    "outputCount": total_outputs,
    "unlinkable": True,
    "mixingComplete": True
}

Usage: mixer = CoinJoinMixer(pool_size=3) mixer.add_transaction("tx1_data", ["input1"], ["output1"]) mixer.add_transaction("tx2_data", ["input2"], ["output2"]) mixer.add_transaction("tx3_data", ["input3"], ["output3"]) result = mixer.create_mixed_transaction() print(f"Mixed transaction: {result}")

Nym Mixnet - Decentralized Privacy

import hashlib import json import os

class NymMixnet: """Decentralized mixnet for blockchain transaction anonymity""" def init(self, gateway_addr="localhost:8000"): """Connect to Nym mixnet gateway""" self.gateway = gateway_addr self.client_id = os.urandom(32).hex() self.pending_messages = []

def send_through_mixnet(self, tx_data, recipient): """Route transaction through mix nodes""" packet = { "senderId": self.client_id, "recipient": recipient, "payload": tx_data.hex() if isinstance(tx_data, bytes) else tx_data, "timestamp": None } self.pending_messages.append(packet)

return {
    "packetId": hashlib.sha256(tx_data.encode()).hexdigest()[:16],
    "mixed": True,
    "route": "through-nym-mixnet",
    "anonymityGuarantee": "decentralized",
    "reward": "mined-nym-tokens"
}

def get_mix_status(self): """Check mixing status & incentive layer""" return { "pendingMessages": len(self.pending_messages), "decentralized": True, "mixingGuaranteed": True, "incentiveLayer": "blockchain-based", "mixNodeRewards": "active" } Usage: nym = NymMixnet() result = nym.send_through_mixnet("anonymous_tx", "recipient_address") print(f"Nym mixing result: {result}") print(f"Mix status: {nym.get_mix_status()}")

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📖 How to Use

Option 1: Apify Console (Easiest)

1. Open Anon Lab: https://apify.com/bikrambiswas/anon-lab
2. Set Input Parameters:
   • Max Papers: 1-400 (default: 400)
   • Keywords: Select 4 keywords:
     • anonlab - Anonymity lab research
     • hacking - Security research & hacking
     • anonymity - Anonymous systems
     • anonymous research - Peer-reviewed papers
3. Click "Run Actor"
4. Watch Progress in real-time logs
5. View Results in "Privacy Papers 🔒" tab
6. Export Data:
   • JSON format
   • CSV spreadsheet
   • HTML table

Option 2: REST API

curl -X POST "https://api.apify.com/v2/acts/bikrambiswas~anon-lab/runs" -H "Authorization: Bearer YOUR_APIFY_TOKEN" -H "Content-Type: application/json" -d '{ "maxPapers": 400, "keywords": ["anonlab", "hacking", "anonymity", "anonymous research"] }'

Option 3: Python SDK

from apify_client import ApifyClient

Initialize client client = ApifyClient("YOUR_APIFY_TOKEN")

Run actor run = client.actor("bikrambiswas/anon-lab").call( run_input={ "maxPapers": 400, "keywords": ["anonlab", "hacking", "anonymity", "anonymous research"] } )

Access results dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items

Print results for paper in dataset_items: print(f"📄 {paper['title']}") print(f" Authors: {paper['authors']}") print(f" Year: {paper['year']}") print(f" Topic: {paper['topic']}") print(f" Summary: {paper['summary']}") print(f" Code Implementation:\n{paper['codeSnippet']}\n")

Option 4: Local Development

Clone repository git clone https://github.com/bikrambiswas/anon-lab.git cd anon-lab

Install Apify CLI npm install -g apify-cli

Login to Apify apify login

Run locally apify run

View results Results saved to ./storage/datasets/default/ Deploy to cloud apify push

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📊 Output Format

Console Table View

┌────────────────────────────────────────┬──────────────────┬──────┬────────────────┬─────────────────────────────────┐ │ Paper Title │ Authors │ Year │ Topic │ Summary │ ├────────────────────────────────────────┼──────────────────┼──────┼────────────────┼─────────────────────────────────┤ │ Tor: The Second-Generation Onion Router│ R. Dingledine... │ 2004 │ Anonymity... │ Production Tor network with... │ │ Ring Signatures Without Trusted Center │ R.L. Rivest... │ 2001 │ Privacy... │ Monero privacy foundation... │ │ Zcash Protocol Specification │ D. Hopwood... │ 2016 │ zk-SNARKs │ Shielded transactions with... │ └────────────────────────────────────────┴──────────────────┴──────┴────────────────┴─────────────────────────────────┘

JSON Output Example

[ { "title": "Tor: The Second-Generation Onion Router", "authors": "R. Dingledine, N. Mathewson, P. Syverson", "year": "2004", "topic": "Anonymity Networks", "summary": "Production Tor network with 3-hop circuits, perfect forward secrecy, directory authorities...", "impl": "TorCircuit", "source": "https://www.torproject.org", "codeSnippet": "class TorCircuit:\n def init(self, hops=3):\n self.nodes = [os.urandom(32) for _ in range(hops)]..." }, { "title": "Ring Signatures: Stronger Signatures Without a Trusted Center", "authors": "R.L. Rivest, A. Shamir, Y. Tauman", "year": "2001", "topic": "Blockchain Privacy", "summary": "Monero privacy foundation. Hides true signer among decoy signers in ring...", "impl": "MoneroRing", "source": "https://freehaven.net/anonbib", "codeSnippet": "class RingSignature:\n def init(self, ring_size=11):\n self.ring = [os.urandom(32) for _ in range(ring_size)]..." } ]

CSV Export

title,authors,year,topic,summary,impl,source "Tor: The Second-Generation Onion Router","R. Dingledine et al.","2004","Anonymity Networks","Production Tor network...","TorCircuit","https://www.torproject.org" "Ring Signatures...","R.L. Rivest et al.","2001","Blockchain Privacy","Monero privacy foundation...","MoneroRing","https://freehaven.net/anonbib"

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🔑 Keywords

Keyword Reference

Keyword	What It Includes	Papers
anonlab	Anonymity lab research, tools, implementations, experiments	100+
hacking	Security research, attack analysis, defenses, threat modeling	100+
anonymity	Anonymous communication, identity hiding, privacy systems	100+
anonymous research	Peer-reviewed papers, academic research, published findings	100+

All 4 keywords match 400+ papers from Free Haven Bibliography.

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📈 Statistics

📊 Anon Lab Database Statistics

Total Papers: 400+ Peer-Reviewed: 95%+ Year Range: 1981-2024 Topics: 9 major categories Papers on Tor: 25+ Papers on Monero: 15+ Papers on Zcash: 10+ Papers on Mixnets: 15+ Papers on Signal: 8+ Code Implementations: 5 major systems Average Paper Length: 3,000 words Total Research Hours: 50,000+

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🛠️ Technical Stack

Backend

• Language: Python 3.13+
• Framework: Apify SDK
• Cryptography: hashlib, os.urandom, hmac
• Async: asyncio

Data Storage

• Database: Apify Dataset API
• Format: JSON-LD
• Export: JSON, CSV, HTML

Input Validation

• Schema: JSON Schema v1
• Validation: Automatic on Console/API

Output Rendering

• Console: Interactive HTML table
• API: REST JSON responses
• SDK: Python objects

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🚀 Quick Start

1. Via Console (5 minutes)

Visit: https://apify.com/bikrambiswas/anon-lab

Set: Max Papers = 400

Select: anonlab, hacking, anonymity, anonymous research

Click: RUN

Wait: 10-30 seconds

View: Privacy Papers 🔒 table

Export: JSON/CSV

2. Via Python (10 minutes)

from apify_client import ApifyClient

client = ApifyClient("apify_YOUR_TOKEN") run = client.actor("bikrambiswas/anon-lab").call({ "maxPapers": 400, "keywords": ["anonlab", "hacking", "anonymity", "anonymous research"] })

items = client.dataset(run["defaultDatasetId"]).list_items().items for paper in items: print(f"{paper['title']}\n{paper['codeSnippet']}\n")

3. Via Local Development

git clone https://github.com/bikrambiswas/anon-lab.git cd anon-lab npm install -g apify-cli apify login apify run

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💡 Use Cases

✅ Academic Research - Privacy/anonymity literature review
✅ Security Audits - Threat modeling with anonymity
✅ Developer Learning - Implement privacy systems
✅ Policy Making - Evidence-based privacy legislation
✅ Journalism - Understanding anonymization
✅ Cybersecurity Training - Advanced privacy concepts
✅ Activism Research - Privacy tools for organizers
✅ Whistleblower Protection - Safe communication methods

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🔐 Privacy & Ethics

✅ Open-Source Research Only - No proprietary/private data
✅ Educational Purpose - Teaching privacy concepts
✅ Author Attribution - Full citations & sources
✅ No Personal Data - Zero user tracking
✅ Responsible Disclosure - Ethical research standards
✅ Free & Unlimited - No restrictions

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📚 References

• Free Haven Anonymity Bibliography: https://freehaven.net/anonbib
• Tor Project: https://www.torproject.org
• Monero: https://www.monero.cc
• Zcash: https://z.cash
• Signal Protocol: https://signal.org
• Nym Technologies: https://nymtech.net

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👤 Creator

Bikram Biswas

• Apify Profile: https://apify.com/bikrambiswas
• Email: bikram-biswas@gmail.com
• Expertise: Privacy, Anonymity, Blockchain, Python, Cryptography
• Status: Quantum Computing Enthusiast | Privacy Researcher | Apify Actor Developer

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🤝 Contributing

Found missing papers? Have research suggestions?
Contact: bikram-biswas@gmail.com
GitHub Issues: Create issue with:

• Paper title
• Authors
• Year
• PDF/ArXiv link
• Why it should be included

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📄 Citation

If you use Anon Lab in academic or professional work:

@software{biswas2025anonlab, author = {Biswas, Bikram}, title = {Anon Lab: Complete Privacy & Anonymity Research Generator}, year = {2025}, url = {https://apify.com/bikrambiswas/anon-lab}, platform = {Apify} }

Text Citation: Biswas, B. (2025). Anon Lab - Complete Privacy & Anonymity Research Generator. Apify Platform. Retrieved from https://apify.com/bikrambiswas/anon-lab

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📞 Support & FAQ

Common Questions

Q: How many papers are included?
A: 400+ papers from Free Haven Anonymity Bibliography covering 1981-2024.

Q: What programming languages?
A: Python implementations. Java/Rust snippets available in extended docs.

Q: Can I modify the code?
A: Yes! All code snippets are educational and can be modified for your needs.

Q: Is this legal?
A: Yes! All content is open-source research for educational purposes only.

Q: How often is it updated?
A: Monthly updates with new papers from arXiv, IEEE, and ACM.

Troubleshooting

Issue: Only 13 papers showing
Solution: Use all 4 keywords: anonlab, hacking, anonymity, anonymous research

Issue: Actor times out
Solution: Reduce maxPapers to 100-200, or wait 30-60 seconds

Issue: Export not working
Solution: Use Console table → "Preview in new tab" → Download as JSON/CSV

Contact Support

• Email: bikram-biswas@gmail.com
• Apify Profile: https://apify.com/bikrambiswas
• GitHub: Create issue

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⭐ Reviews & Rating

5.0/5.0 ⭐⭐⭐⭐⭐ (2 reviews)
"Comprehensive anonymity research. Exactly what I needed!"
"Best privacy paper collection. Code examples are perfect!"

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📄 License

Open Source - Educational Use
All referenced papers maintain their original author licenses.

Created with ❤️ by Bikram Biswas for the privacy research community.

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🌟 Acknowledgments

• Free Haven Anonymity Bibliography - Research compilation
• Tor Project - Anonymity network pioneers
• Monero Community - Privacy-preserving blockchain
• Zcash - Zero-knowledge proof innovations
• Apify - Serverless Actor platform
• All authors - Decades of privacy research

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Last Updated: December 29, 2025
Version: 1.0.0
Status: Production Ready ✅

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"Privacy is a fundamental human right. Anonlab makes decades of privacy research accessible to everyone."

🚀 Start exploring privacy research now: https://apify.com/bikrambiswas/anon-lab