Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Authors: Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley Malin, Ye Wang | Published: 2024-08-29
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MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector
Authors: Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang | Published: 2024-08-16
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Authors: Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang | Published: 2024-08-05
Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities
Authors: Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev, Hussam Al Hamadi, Engin Zeydan | Published: 2024-08-01 | Updated: 2025-01-06
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
Authors: Joshua Ward, Chi-Hua Wang, Guang Cheng | Published: 2024-06-18
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs
Authors: Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou | Published: 2024-06-16
Adversarial Machine Unlearning
Authors: Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu | Published: 2024-06-11
LLM Dataset Inference: Did you train on my dataset?
Authors: Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic | Published: 2024-06-10
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Authors: Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu | Published: 2024-06-10
Model for Peanuts: Hijacking ML Models without Training Access is Possible
Authors: Mahmoud Ghorbel, Halima Bouzidi, Ioan Marius Bilasco, Ihsen Alouani | Published: 2024-06-03