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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks Wei Tao Lei Bao Long Sheng Gao-wei Wu Qing Tao AAML 59 1 0 27 Jan 2023
Targeted Attacks on Timeseries Forecasting Yuvaraj Govindarajulu Avinash Amballa Pavan Kulkarni Manojkumar Somabhai Parmar AAML AI4TS 29 6 0 27 Jan 2023
Attacking Important Pixels for Anchor-free Detectors Yunxu Xie Shu Hu Xin Wang Quanyu Liao Bin Zhu Xi Wu Siwei Lyu ObjD AAML 80 2 0 26 Jan 2023
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks David Boetius Stefan Leue Tobias Sutter 67 4 0 26 Jan 2023
Certified Interpretability Robustness for Class Activation Mapping Alex Gu Tsui-Wei Weng Pin-Yu Chen Sijia Liu Lucani E. Daniel AAML 56 2 0 26 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 115 2 0 26 Jan 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu Feng Yu Xianglong Liu MQ AAML 106 37 0 26 Jan 2023
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks Ayesha Siddique Ripan Kumar Kundu Gautam Raj Mode K. A. Hoque AAML 60 2 0 25 Jan 2023
Connecting metrics for shape-texture knowledge in computer vision Tiago Gaspar Oliveira Tiago Marques Arlindo L. Oliveira 25 0 0 25 Jan 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection Mohammad Azizmalayeri Arman Zarei Alireza Isavand M. T. Manzuri M. Rohban OODD 62 0 0 25 Jan 2023
DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics Onat Gungor Tajana Simunic Baris Aksanli AAML 35 0 0 23 Jan 2023
Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images Martin J. Hetz Tabea-Clara Bucher T. Brinker OOD MedIm 78 11 0 23 Jan 2023
Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network Ömer Faruk Tuna Fehmí Emre Kadan Leyli Karaçay AAML 63 6 0 23 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 62 4 0 18 Jan 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training Philipp Altmann Thomy Phan Fabian Ritz Thomas Gabor Claudia Linnhoff-Popien OffRL 63 1 0 18 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 45 29 0 17 Jan 2023
Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis Wei Guo B. Tondi Mauro Barni AAML 60 9 0 11 Jan 2023
AdvBiom: Adversarial Attacks on Biometric Matchers Debayan Deb Vishesh Mistry Rahul Parthe AAML CVBM 72 3 0 10 Jan 2023
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense Asadullah Hill Galib Bidhan Bashyal SILM AAML 15 4 0 09 Jan 2023
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 87 5 0 09 Jan 2023
Code Difference Guided Adversarial Example Generation for Deep Code Models Zhao Tian Junjie Chen Zhi Jin AAML 99 22 0 06 Jan 2023
Silent Killer: A Stealthy, Clean-Label, Black-Box Backdoor Attack Tzvi Lederer Gallil Maimon Lior Rokach AAML 43 2 0 05 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 102 28 0 01 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack Muzammal Naseer Salman Khan Fatih Porikli Fahad Shahbaz Khan AAML 56 1 0 30 Dec 2022
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez AAML 89 18 0 30 Dec 2022
Differentiable Search of Accurate and Robust Architectures Yuwei Ou Xiangning Xie Shan Gao Yanan Sun Kay Chen Tan Jiancheng Lv OOD AAML 69 2 0 28 Dec 2022
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 58 6 0 28 Dec 2022
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty Genki Osada Tsubasa Takahashi Budrul Ahsan Takashi Nishide OODD 98 14 0 24 Dec 2022
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Gaojie Jin Q. Ni 111 5 0 22 Dec 2022
A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression Deepak Maurya Jean Honorio AAML 72 0 0 21 Dec 2022
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation F. Uslu Anil A. Bharath 67 15 0 21 Dec 2022
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks Yifan Zhang Junhui Hou Yixuan Yuan AAML 3DPC 69 34 0 20 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends Yonghao Xu Tao Bai Weikang Yu Shizhen Chang P. M. Atkinson Pedram Ghamisi AAML 102 47 0 19 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou Jinghan Jia Yihua Zhang Guanhua Zhang Yang Zhang Sijia Liu Shiyu Chang SILM AAML 63 24 0 19 Dec 2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks Anqi Zhao Tong Chu Yahao Liu Wen Li Jingjing Li Lixin Duan AAML 74 18 0 18 Dec 2022
Adversarial Example Defense via Perturbation Grading Strategy Shaowei Zhu Wanli Lyu Bin Li Z. Yin Bin Luo AAML 71 1 0 16 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 71 5 0 15 Dec 2022
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 98 71 0 14 Dec 2022
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection P. Lorenz Margret Keuper J. Keuper AAML 95 7 0 13 Dec 2022
Adversarially Robust Video Perception by Seeing Motion Lingyu Zhang Chengzhi Mao Junfeng Yang Carl Vondrick VGen AAML 87 2 0 13 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 97 15 0 12 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 130 39 0 11 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 61 2 0 11 Dec 2022
QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks Yedi Zhang Zhe Zhao Fu Song Hao Fei Tao Chen Jun Sun 69 18 0 10 Dec 2022
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet Yannic Neuhaus Maximilian Augustin Valentyn Boreiko Matthias Hein AAML 134 32 0 09 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 74 1 0 08 Dec 2022
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System Guy Amir Ziv Freund Guy Katz Elad Mandelbaum Idan Refaeli 104 13 0 06 Dec 2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 95 25 0 06 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 105 19 0 05 Dec 2022
FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration Žiga Babnik Peter Peer Vitomir Štruc CVBM AAML 71 19 0 05 Dec 2022