Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot
Learning

Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning

15 April 2022

Mathias Lechner

Alexander Amini

Daniela Rus

Papers citing "Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning"

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Title
Post-Convergence Sim-to-Real Policy Transfer: A Principled Alternative to Cherry-Picking Dylan Khor Bowen Weng 32 1 0 21 Apr 2025
Exploring Adversarial Obstacle Attacks in Search-based Path Planning for Autonomous Mobile Robots Adrian Szvoren Jianwei Liu Dimitrios Kanoulas Nilufer Tuptuk AAML 18 0 0 08 Apr 2025
Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation Ke Zhao Huayang Huang Miao Li Yu Wu AAML 71 0 0 21 Nov 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World Taisuke Kobayashi 68 2 0 29 Sep 2024
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies Yipu Chen Haotian Xue Yongxin Chen AAML 27 4 0 29 May 2024
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 16 2 0 17 Feb 2023
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 192 258 0 10 Nov 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 256 620 0 21 May 2021
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 226 1,835 0 03 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016