Fail-Closed Alignment for Large Language Models
Authors: Zachary Coalson, Beth Sohler, Aiden Gabriel, Sanghyun Hong | Published: 2026-02-19
ロバスト性に関する評価
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information
Authors: Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Viswanathan Swaminathan | Published: 2023-11-20 | Updated: 2024-02-18
Instability of computer vision models is a necessary result of the task itself
Authors: Oliver Turnbull, George Cevora | Published: 2023-10-26
Attesting Distributional Properties of Training Data for Machine Learning
Authors: Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, N. Asokan | Published: 2023-08-18 | Updated: 2024-04-09
Robustness Over Time: Understanding Adversarial Examples’ Effectiveness on Longitudinal Versions of Large Language Models
Authors: Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang | Published: 2023-08-15 | Updated: 2024-05-06
Robust Ranking Explanations
Authors: Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie | Published: 2023-07-08
[Re] Double Sampling Randomized Smoothing
Authors: Aryan Gupta, Sarthak Gupta, Abhay Kumar, Harsh Dugar | Published: 2023-06-27
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
Authors: Lucile Ter-Minassian, Oscar Clivio, Karla Diaz-Ordaz, Robin J. Evans, Chris Holmes | Published: 2023-06-26
Theoretical Foundations of Adversarially Robust Learning
Authors: Omar Montasser | Published: 2023-06-13
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Authors: Zonghan Yang, Tianyu Pang, Yang Liu | Published: 2023-06-02