L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
Authors: Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang | Published: 2024-01-27 | Updated: 2024-05-22
Watermarking
Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
Authors: Yiling Xie, Xiaoming Huo | Published: 2024-01-27
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features
Authors: Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash Varadarajan, Chiyuan Zhang | Published: 2024-01-26
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
Authors: Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas | Published: 2024-01-26
Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors
Authors: Taylor R Schorlemmer, Kelechi G Kalu, Luke Chigges, Kyung Myung Ko, Eman Abu Isghair, Saurabh Baghi, Santiago Torres-Arias, James C Davis | Published: 2024-01-26 | Updated: 2024-04-14
Sparse and Transferable Universal Singular Vectors Attack
Authors: Kseniia Kuvshinova, Olga Tsymboi, Ivan Oseledets | Published: 2024-01-25
Predicting SSH keys in Open SSH Memory dumps
Authors: Florian Rascoussier | Published: 2024-01-24
Beimingwu: A Learnware Dock System
Authors: Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou | Published: 2024-01-24
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
Authors: Ying Song, Balaji Palanisamy | Published: 2024-01-23 | Updated: 2025-01-26
Wasserstein Differential Privacy
Authors: Chengyi Yang, Jiayin Qi, Aimin Zhou | Published: 2024-01-23