Towards Better Statistical Understanding of Watermarking LLMs
Authors: Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li | Published: 2024-03-19
Watermark Robustness
DECOR: Enhancing Logic Locking Against Machine Learning-Based Attacks
Authors: Yinghua Hu, Kaixin Yang, Subhajit Dutta Chowdhury, Pierluigi Nuzzo | Published: 2024-03-04
Evasive Hardware Trojan through Adversarial Power Trace
Authors: Behnam Omidi, Khaled N. Khasawneh, Ihsen Alouani | Published: 2024-01-04
Optimizing watermarks for large language models
Authors: Bram Wouters | Published: 2023-12-28
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
Authors: Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu | Published: 2023-12-19
Rethinking Robustness of Model Attributions
Authors: Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N Balasubramanian | Published: 2023-12-16
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