Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles

28 December 2022

Papers citing "Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles"

9 / 9 papers shown

Title
Multi-Robot Coordination with Adversarial Perception Rayan Bahrami H. Jafarnejadsani AAML 47 0 0 12 Apr 2025
PCLA: A Framework for Testing Autonomous Agents in the CARLA Simulator Masoud Jamshidiyan Tehrani Jinhan Kim Paolo Tonella 167 0 0 12 Mar 2025
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Stefano Carlo Lambertenghi Hannes Leonhard Andrea Stocco AAML 168 2 0 21 Jan 2025
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning Hsin-Jung Yang Joe Beck Md Zahid Hasan Ekin Beyazit Subhadeep Chakraborty Tichakorn Wongpiromsarn Soumik Sarkar 24 0 0 27 Mar 2024
Synergistic Perception and Control Simplex for Verifiable Safe Vertical Landing Ayoosh Bansal Yang Zhao James Zhu Sheng Cheng Yuliang Gu Hyung-Jin Yoon Hunmin Kim N. Hovakimyan Lui Sha 26 2 0 05 Dec 2023
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 288 3,110 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015