How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
Authors: Hua Yang, Alejandro Velasco, Thanh Le-Cong, Md Nazmul Haque, Bowen Xu, Denys Poshyvanyk | Published: 2025-12-17
Privacy Analysis
An Efficient Gradient-Based Inference Attack for Federated Learning
Authors: Pablo Montaña-Fernández, Ines Ortega-Fernandez | Published: 2025-12-17
Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety
Authors: Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong | Published: 2025-12-09
PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration
Authors: Yi Liu, Weixiang Han, Chengjun Cai, Xingliang Yuan, Cong Wang | Published: 2025-12-09
A Practical Framework for Evaluating Medical AI Security: Reproducible Assessment of Jailbreaking and Privacy Vulnerabilities Across Clinical Specialties
Authors: Jinghao Wang, Ping Zhang, Carter Yagemann | Published: 2025-12-09
Understanding Privacy Risks in Code Models Through Training Dynamics: A Causal Approach
Authors: Hua Yang, Alejandro Velasco, Sen Fang, Bowen Xu, Denys Poshyvanyk | Published: 2025-12-08
Privacy Practices of Browser Agents
Authors: Alisha Ukani, Hamed Haddadi, Ali Shahin Shamsabadi, Peter Snyder | Published: 2025-12-08
Amulet: Fast TEE-Shielded Inference for On-Device Model Protection
Authors: Zikai Mao, Lingchen Zhao, Lei Xu, Wentao Dong, Shenyi Zhang, Cong Wang, Qian Wang | Published: 2025-12-08
GUIDE: Enhancing Gradient Inversion Attacks in Federated Learning with Denoising Models
Authors: Vincenzo Carletti, Pasquale Foggia, Carlo Mazzocca, Giuseppe Parrella, Mario Vento | Published: 2025-10-20
Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis
Authors: Joshua Ward, Xiaofeng Lin, Chi-Hua Wang, Guang Cheng | Published: 2025-09-22