I can’t see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption
Authors: Prajwal Panzade, Daniel Takabi, Zhipeng Cai | Published: 2024-02-14
Privacy Protection
Utilizing Large LanguageModels to Detect Privacy Leaks in Mini-App Code
Authors: Liming Jiang | Published: 2024-02-12
MAGNETO: Edge AI for Human Activity Recognition — Privacy and Personalization
Authors: Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid | Published: 2024-02-11 | Updated: 2024-02-14
Barycentric and Pairwise Renyi Quantum Leakage
Authors: Farhad Farokhi | Published: 2024-02-09
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
Authors: Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang, Archana Ahlawat, Anupam Datta, John C Mitchell | Published: 2024-02-07
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
Authors: Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang | Published: 2024-02-05 | Updated: 2024-10-07
Human-Centered Privacy Research in the Age of Large Language Models
Authors: Tianshi Li, Sauvik Das, Hao-Ping Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang | Published: 2024-02-03
Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models
Authors: Xi Li, Jiaqi Wang | Published: 2024-02-02
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
Authors: Hamed Poursiami, Ihsen Alouani, Maryam Parsa | Published: 2024-02-01 | Updated: 2024-05-07
Integrating Differential Privacy and Contextual Integrity
Authors: Sebastian Benthall, Rachel Cummings | Published: 2024-01-28