Rethinking Robustness of Model Attributions
Authors: Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N Balasubramanian | Published: 2023-12-16
透かしの耐久性
Unsupervised and Supervised learning by Dense Associative Memory under replica symmetry breaking
Authors: Linda Albanese, Andrea Alessandrelli, Alessia Annibale, Adriano Barra | Published: 2023-12-15
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
Authors: Jan Schuchardt, Yan Scholten, Stephan Günnemann | Published: 2023-12-05 | Updated: 2024-01-15
Survey of Security Issues in Memristor-based Machine Learning Accelerators for RF Analysis
Authors: William Lillis, Max Cohen Hoffing, Wayne Burleson | Published: 2023-12-01
Mark My Words: Analyzing and Evaluating Language Model Watermarks
Authors: Julien Piet, Chawin Sitawarin, Vivian Fang, Norman Mu, David Wagner | Published: 2023-12-01 | Updated: 2024-10-11
Towards Code Watermarking with Dual-Channel Transformations
Authors: Borui Yang, Wei Li, Liyao Xiang, Bo Li | Published: 2023-09-02 | Updated: 2024-01-02
On the Steganographic Capacity of Selected Learning Models
Authors: Rishit Agrawal, Kelvin Jou, Tanush Obili, Daksh Parikh, Samarth Prajapati, Yash Seth, Charan Sridhar, Nathan Zhang, Mark Stamp | Published: 2023-08-29
ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching
Authors: M. Caner Tol, Berk Sunar | Published: 2023-08-24
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization
Authors: Xiaoyu Ye, Hao Huang, Jiaqi An, Yongtao Wang | Published: 2023-08-19
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model
Authors: Ran Jiang, Sanfeng Zhang, Linfeng Liu, Yanbing Peng | Published: 2023-08-16