Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Authors: Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas | Published: 2023-02-03 | Updated: 2023-10-14
ウォーターマーキング
Deep Learning model integrity checking mechanism using watermarking technique
Authors: Shahinul Hoque, Farhin Farhad Riya, Yingyuan Yang, Jinyuan Sun | Published: 2023-01-29 | Updated: 2025-03-21
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
Authors: Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, Xiaofeng Wang, Haixu Tang | Published: 2023-01-29 | Updated: 2024-03-02
Alignment with human representations supports robust few-shot learning
Authors: Ilia Sucholutsky, Thomas L. Griffiths | Published: 2023-01-27 | Updated: 2023-10-29
Practical Differentially Private Hyperparameter Tuning with Subsampling
Authors: Antti Koskela, Tejas Kulkarni | Published: 2023-01-27 | Updated: 2024-02-13
A Watermark for Large Language Models
Authors: John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein | Published: 2023-01-24 | Updated: 2024-05-01
DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics
Authors: Onat Gungor, Tajana Rosing, Baris Aksanli | Published: 2023-01-23
Linear and non-linear machine learning attacks on physical unclonable functions
Authors: Michael Lachner | Published: 2023-01-06
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
Authors: Nabeel Hingun, Chawin Sitawarin, Jerry Li, David Wagner | Published: 2022-12-12 | Updated: 2023-08-18
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
Authors: Pengyu Qiu, Xuhong Zhang, Shouling Ji, Chong Fu, Xing Yang, Ting Wang | Published: 2022-12-01 | Updated: 2024-01-22