Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations

11 February 2020

Papers citing "Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations"

30 / 30 papers shown

Title
OR-Bench: An Over-Refusal Benchmark for Large Language Models Justin Cui Wei-Lin Chiang Ion Stoica Cho-Jui Hsieh ALM 55 41 0 31 May 2024
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 51 0 0 21 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 72 5 0 06 Oct 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 45 10 0 22 Aug 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts Guy Gaziv Michael J. Lee J. DiCarlo AAML 29 6 0 14 Aug 2023
Revisiting Robustness in Graph Machine Learning Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann AAML OOD 80 22 0 01 May 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming Tianqi Cui Tom S. Bertalan George J. Pappas M. Morari Ioannis G. Kevrekidis Mahyar Fazlyab AAML 37 2 0 27 Jan 2023
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 30 5 0 25 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 35 20 0 17 Nov 2022
Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 67 22 0 18 Oct 2022
On the Limitations of Stochastic Pre-processing Defenses Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 66 31 0 19 Jun 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations Chong Guo Michael J. Lee Guillaume Leclerc Joel Dapello Yug Rao Aleksander Madry J. DiCarlo GAN AAML 21 13 0 19 Jun 2022
Exact Feature Collisions in Neural Networks Utku Ozbulak Manvel Gasparyan Shodhan Rao W. D. Neve Arnout Van Messem AAML 37 1 0 31 May 2022
When adversarial examples are excusable Pieter-Jan Kindermans Charles Staats AAML 32 0 0 25 Apr 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 58 72 0 26 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 40 120 0 21 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 155 16 0 31 Jan 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 36 5 0 28 Dec 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness Ke Sun Mingjie Li Zhouchen Lin AAML 32 2 0 03 Nov 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 41 296 0 18 Oct 2021
Bugs in our Pockets: The Risks of Client-Side Scanning H. Abelson Ross J. Anderson S. Bellovin Josh Benaloh M. Blaze ... Ronald L. Rivest J. Schiller B. Schneier Vanessa J. Teague Carmela Troncoso 81 39 0 14 Oct 2021
Calibrated Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 80 3 0 01 Oct 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 37 21 0 17 Jun 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 53 223 0 14 Jun 2021
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 39 28 0 01 Jun 2021
Grid Cell Path Integration For Movement-Based Visual Object Recognition Niels Leadholm Marcus Lewis Subutai Ahmad 49 6 0 17 Feb 2021
Fooling the primate brain with minimal, targeted image manipulation Li-xin Yuan Will Xiao Giorgia Dellaferrera Gabriel Kreiman Francis E. H. Tay Jiashi Feng Margaret Livingstone AAML 36 1 0 11 Nov 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 44 48 0 19 Oct 2020
Provable tradeoffs in adversarially robust classification Yan Sun Hamed Hassani David Hong Alexander Robey 23 55 0 09 Jun 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 51 298 0 08 May 2020