Robust Physical-World Attacks on Deep Learning Models

27 July 2017

Papers citing "Robust Physical-World Attacks on Deep Learning Models"

50 / 123 papers shown

Title
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 238 0 0 30 Mar 2025
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models Isha Gupta David Khachaturov Robert D. Mullins AAML AuLLM 69 2 0 02 Feb 2025
A Privacy Enhancing Technique to Evade Detection by Street Video Cameras Without Using Adversarial Accessories Jacob Shams Ben Nassi Satoru Koda A. Shabtai Yuval Elovici 225 0 0 28 Jan 2025
Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images Zhao Ning Zou Yuhang Zhang Robert Wijaya 28 0 0 12 Oct 2023
Adversarial AI in Insurance: Pervasiveness and Resilience E. Luciano Matteo Cattaneo Ron S. Kenett AAML 22 1 0 17 Jan 2023
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection P. Lorenz M. Keuper J. Keuper AAML 24 7 0 13 Dec 2022
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance Ashish Hooda Andrey Labunets Tadayoshi Kohno Earlence Fernandes 21 2 0 08 Dec 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 38 3 0 19 Sep 2022
A Black-Box Attack on Optical Character Recognition Systems Samet Bayram Kenneth Barner AAML 20 5 0 30 Aug 2022
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 35 51 0 26 Jul 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking Xiangyu Yin Wenjie Ruan J. Fieldsend AAML 38 28 0 17 Jul 2022
Automating the Design and Development of Gradient Descent Trained Expert System Networks Jeremy Straub 29 9 0 04 Jul 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO Javier Rando Nasib Naimi Thomas Baumann Max Mathys AAML 20 5 0 14 Jun 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems Soma Kontár A. Horváth AAML 40 1 0 21 May 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 45 8 0 02 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 28 33 0 27 Mar 2022
Adversarial Defense via Image Denoising with Chaotic Encryption Shi Hu Eric T. Nalisnick Max Welling 30 2 0 19 Mar 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 28 32 0 12 Feb 2022
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification A. Ćiprijanović Diana Kafkes Gregory F. Snyder F. Sánchez G. Perdue K. Pedro Brian D. Nord Sandeep Madireddy Stefan M. Wild AAML 42 15 0 28 Dec 2021
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector Andrew Du Yee Wei Law Michele Sasdelli Bo Chen Ken Clarke M. Brown Tat-Jun Chin AAML 30 11 0 03 Dec 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models Wei Ping Chejian Xu Shuohang Wang Zhe Gan Yu Cheng Jianfeng Gao Ahmed Hassan Awadallah Yangqiu Song VLM ELM AAML 33 216 0 04 Nov 2021
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles Yuejun Guo Qiang Hu Maxime Cordy Michail Papadakis Yves Le Traon AAML 32 2 0 27 Sep 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du Bo Chen Tat-Jun Chin Yee Wei Law Michele Sasdelli Ramesh Rajasegaran Dillon Campbell AAML 33 60 0 26 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 38 22 0 02 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 27 211 0 05 May 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking Shuai Jia Yibing Song Chao Ma Xiaokang Yang AAML 50 48 0 27 Mar 2021
StyleLess layer: Improving robustness for real-world driving Julien Rebut Andrei Bursuc P. Pérez 30 5 0 25 Mar 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink Ranjie Duan Xiaofeng Mao •. A. K. Qin Yun Yang YueFeng Chen Shaokai Ye Yuan He AAML 24 138 0 11 Mar 2021
A statistical framework for efficient out of distribution detection in deep neural networks Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 25 37 0 25 Feb 2021
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes Yael Mathov Lior Rokach Yuval Elovici 24 5 0 10 Feb 2021
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Wei Ping Shuohang Wang Yu Cheng Zhe Gan R. Jia Bo-wen Li Jingjing Liu AAML 46 113 0 05 Oct 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 23 30 0 02 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations Giulio Lovisotto H.C.M. Turner Ivo Sluganovic Martin Strohmeier Ivan Martinovic AAML 19 101 0 08 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 22 505 0 05 Jul 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 39 48 0 20 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Bo-wen Li AAML 21 178 0 28 May 2020
Universal Adversarial Perturbations: A Survey Ashutosh Chaubey Nikhil Agrawal Kavya Barnwal K. K. Guliani Pramod Mehta OOD AAML 42 46 0 16 May 2020
Designing for Human Rights in AI Evgeni Aizenberg J. van den Hoven 8 107 0 11 May 2020
Minority Reports Defense: Defending Against Adversarial Patches Michael McCoyd Won Park Steven Chen Neil Shah Ryan Roggenkemper Minjune Hwang J. Liu David Wagner AAML 11 54 0 28 Apr 2020
Certifying Joint Adversarial Robustness for Model Ensembles M. Jonas David Evans AAML 21 2 0 21 Apr 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 167 224 0 08 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving Systems M. Shafiee Ahmadreza Jeddi Amir Nazemi Paul Fieguth A. Wong OOD 34 15 0 04 Mar 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj Y. Bresler Bo-wen Li OOD AAML 29 50 0 26 Feb 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 36 38 0 26 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 19 37 0 19 Feb 2020
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples P. Douglas F. Farahani AAML 19 5 0 17 Feb 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 25 310 0 14 Feb 2020