PrivateLoRA For Efficient Privacy Preserving LLM
Authors: Yiming Wang, Yu Lin, Xiaodong Zeng, Guannan Zhang | Published: 2023-11-23
Membership Inference
Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service
Authors: Yuanmin Tang, Jing Yu, Keke Gai, Xiangyan Qu, Yue Hu, Gang Xiong, Qi Wu | Published: 2023-11-10
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection
Authors: Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora | Published: 2023-11-08
Locally Differentially Private Document Generation Using Zero Shot Prompting
Authors: Saiteja Utpala, Sara Hooker, Pin Yu Chen | Published: 2023-10-24 | Updated: 2023-11-30
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Authors: Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida | Published: 2023-10-20 | Updated: 2025-05-12
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Authors: Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang | Published: 2023-10-19
A Comprehensive Study of Privacy Risks in Curriculum Learning
Authors: Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li | Published: 2023-10-16
Why Train More? Effective and Efficient Membership Inference via Memorization
Authors: Jihye Choi, Shruti Tople, Varun Chandrasekaran, Somesh Jha | Published: 2023-10-12
Text Embeddings Reveal (Almost) As Much As Text
Authors: John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush | Published: 2023-10-10
Vulnerability Clustering and other Machine Learning Applications of Semantic Vulnerability Embeddings
Authors: Mark-Oliver Stehr, Minyoung Kim | Published: 2023-08-23