Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies

14 April 2024

Papers citing "Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies"

8 / 8 papers shown

Title
DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein J. Zhang Feng Liu 69 0 0 04 Mar 2025
Scaling Trends in Language Model Robustness Nikolhaus Howe Michal Zajac I. R. McKenzie Oskar Hollinsworth Tom Tseng Aaron David Tucker Pierre-Luc Bacon Adam Gleave 106 1 0 21 Feb 2025
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Lowe Andreas Geiger Max Welling AI4CE 67 6 0 17 Feb 2025
Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustness David Khachaturov Robert D. Mullins AAML 15 0 0 24 Oct 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification Sajjad Amini Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr OOD AAML 19 6 0 09 Jun 2024
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks A. Harrington Arturo Deza OOD AAML 21 20 0 02 Feb 2022
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020