Privacy & Security Comparison Hub
4 papers - avg viability 6.5
Top Papers
- A LINDDUN-based Privacy Threat Modeling Framework for GenAI(7.0)
A privacy threat modeling framework for GenAI applications, enabling comprehensive privacy analysis and risk mitigation.
- Proteus: A Practical Framework for Privacy-Preserving Device Logs(7.0)
Proteus is a privacy-preserving device logging framework that enables forensic analysis without disclosing plaintext PII, offering a secure solution for enterprise monitoring and fraud detection.
- Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions(7.0)
A more realistic membership inference attack evaluation reveals vulnerabilities in current privacy auditing methods, suggesting a need for improved privacy-preserving machine learning techniques and robust evaluation protocols.
- PenTiDef: Enhancing Privacy and Robustness in Decentralized Federated Intrusion Detection Systems against Poisoning Attacks(5.0)
PenTiDef offers a robust, blockchain-based defense framework for decentralized federated intrusion detection systems to counter poisoning attacks.