PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Authors: Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu | Published: 2023-02-22 | Updated: 2023-04-06
ウォーターマーキング
Generalization Bounds for Adversarial Contrastive Learning
Authors: Xin Zou, Weiwei Liu | Published: 2023-02-21
Certified private data release for sparse Lipschitz functions
Authors: Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang | Published: 2023-02-19 | Updated: 2023-08-28
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
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