Adversarial Training is Not Ready for Robot Learning

15 March 2021

Ramin Hasani

Daniela Rus

Papers citing "Adversarial Training is Not Ready for Robot Learning"

29 / 29 papers shown

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
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Sophie A. Neubauer Radu Grosu 18 0 0 23 Aug 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 26 14 0 25 Feb 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 29 41 0 13 Feb 2023
Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks Mathias Lechner Dorde Zikelic K. Chatterjee T. Henzinger Daniela Rus AAML 16 2 0 29 Nov 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 28 12 0 21 Oct 2022
Interpreting Neural Policies with Disentangled Tree Representations Tsun-Hsuan Wang Wei Xiao Tim Seyde Ramin Hasani Daniela Rus DRL 19 2 0 13 Oct 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap Mathias Lechner Ramin Hasani Alexander Amini Tsun-Hsuan Wang T. Henzinger Daniela Rus CML OOD 21 7 0 09 Oct 2022
On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness Bowen Weng Guillermo A. Castillo Wei Zhang Ayonga Hereid AAML 30 7 0 20 Sep 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 23 9 0 15 Apr 2022
BarrierNet: A Safety-Guaranteed Layer for Neural Networks Wei Xiao Ramin Hasani Xiao Li Daniela Rus 21 19 0 22 Nov 2021
Interactive Analysis of CNN Robustness Stefan Sietzen Mathias Lechner Judy Borowski Ramin Hasani Manuela Waldner AAML 24 10 0 14 Oct 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay R. Kumar 90 53 0 25 Sep 2021
Adversarially Regularized Policy Learning Guided by Trajectory Optimization Zhigen Zhao Simiao Zuo T. Zhao Ye Zhao 14 10 0 16 Sep 2021
GoTube: Scalable Stochastic Verification of Continuous-Depth Models Sophie Gruenbacher Mathias Lechner Ramin Hasani Daniela Rus T. Henzinger S. Smolka Radu Grosu 18 17 0 18 Jul 2021
Closed-form Continuous-time Neural Models Ramin Hasani Mathias Lechner Alexander Amini Lucas Liebenwein Aaron Ray Max Tschaikowski G. Teschl Daniela Rus PINN AI4TS 23 82 0 25 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 18 16 0 24 Jun 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 23 47 0 15 Jun 2021
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification Z. Babaiee Ramin Hasani Mathias Lechner Daniela Rus Radu Grosu VLM 19 18 0 13 Jun 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 30 37 0 08 Mar 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 26 71 0 09 Feb 2021
On The Verification of Neural ODEs with Stochastic Guarantees Sophie Gruenbacher Ramin Hasani Mathias Lechner J. Cyranka S. Smolka Radu Grosu 66 31 0 16 Dec 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 124 103 0 17 Oct 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 186 272 0 03 Dec 2018
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 62 230 0 25 May 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016