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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
HoneyModels: Machine Learning Honeypots Ahmed Abdou Ryan Sheatsley Yohan Beugin Tyler J. Shipp Patrick McDaniel AAML 53 3 0 21 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 149 50 0 20 Feb 2022
Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks R. Sandler Peter K. Relich Cloud Cho Sean Holloway AAML 41 5 0 20 Feb 2022
Learning Representations Robust to Group Shifts and Adversarial Examples Ming-Chang Chiu Xuezhe Ma OOD 49 0 0 18 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 72 7 0 15 Feb 2022
Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 35 4 0 15 Feb 2022
Robust Deepfake On Unrestricted Media: Generation And Detection Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen 97 7 0 13 Feb 2022
Adversarial Attacks and Defense Methods for Power Quality Recognition Jiwei Tian Buhong Wang Jing Li Zhen Wang Mete Ozay AAML 102 0 0 11 Feb 2022
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems Zesheng Chen AAML 62 8 0 11 Feb 2022
Adversarial Detection without Model Information Abhishek Moitra Youngeun Kim Priyadarshini Panda AAML 49 1 0 09 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 79 30 0 09 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 114 18 0 08 Feb 2022
Attacking c-MARL More Effectively: A Data Driven Approach Nhan H. Pham Lam M. Nguyen Jie Chen Hoang Thanh Lam Subhro Das Tsui-Wei Weng AAML 99 2 0 07 Feb 2022
Robust Semantic Communications Against Semantic Noise Qiyu Hu Guangyi Zhang Zhijin Qin Yunlong Cai Guanding Yu Geoffrey Ye Li AAML 65 83 0 07 Feb 2022
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics Arnav Varma Hemang Chawla Bahram Zonooz Elahe Arani ViT MDE 75 50 0 07 Feb 2022
Lossy Compression of Noisy Data for Private and Data-Efficient Learning Berivan Isik Tsachy Weissman 75 3 0 07 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework Mohammad Khalooei M. Homayounpour M. Amirmazlaghani AAML 71 3 0 05 Feb 2022
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder Eashan Adhikarla Danni Luo Brian D. Davison AAML 36 2 0 05 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 87 4 0 03 Feb 2022
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients Hanbin Hong Yuan Hong Yu Kong AAML 65 2 0 02 Feb 2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks Chi Hong Jiyue Huang L. Chen 65 2 0 31 Jan 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 92 55 0 27 Jan 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 171 67 0 27 Jan 2022
How Robust are Discriminatively Trained Zero-Shot Learning Models? M. K. Yucel R. G. Cinbis Pinar Duygulu 86 14 0 26 Jan 2022
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu GAN AAML 106 20 0 24 Jan 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 56 2 0 23 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 96 15 0 23 Jan 2022
Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces Zahra Tarkhani Lorena Qendro Malachy O'Connor Brown Oscar Hill Cecilia Mascolo Anil Madhavapeddy 56 9 0 19 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Zeyang Sha Xinlei He Ning Yu Michael Backes Yang Zhang 140 35 0 19 Jan 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems Wei Jia Zhaojun Lu Haichun Zhang Zhenglin Liu Jie Wang Gang Qu AAML 71 54 0 17 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN) Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 87 14 0 16 Jan 2022
ALA: Naturalness-aware Adversarial Lightness Attack Yihao Huang Liangru Sun Qing Guo Felix Juefei Xu Jiayi Zhu Jincao Feng Yang Liu G. Pu AAML 92 11 0 16 Jan 2022
Adversarially Robust Classification by Conditional Generative Model Inversion Mitra Alirezaei Tolga Tasdizen AAML 40 0 0 12 Jan 2022
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data Sunder Ali Khowaja I. Lee Kapal Dev M. Jarwar N. Qureshi AAML 88 16 0 12 Jan 2022
Towards Adversarially Robust Deep Image Denoising Hanshu Yan Jingfeng Zhang Jiashi Feng Masashi Sugiyama Vincent Y. F. Tan DiffM 57 17 0 12 Jan 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics Haya Brama L. Dery Tal Grinshpoun AAML 66 8 0 10 Jan 2022
Rethink the Evaluation for Attack Strength of Backdoor Attacks in Natural Language Processing Lingfeng Shen Haiyun Jiang Lemao Liu Shuming Shi ELM 31 1 0 09 Jan 2022
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection R. Kaur Susmit Jha Anirban Roy Sangdon Park Yan Sun O. Sokolsky Insup Lee OODD 66 47 0 07 Jan 2022
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Giulio Rossolini F. Nesti G. D’Amico Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 86 42 0 05 Jan 2022
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints Amira Guesmi Khaled N. Khasawneh Nael B. Abu-Ghazaleh Ihsen Alouani AAML 52 14 0 05 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 88 21 0 04 Jan 2022
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection Hui Liu Bo Zhao Yuefeng Peng Weidong Li Peng Liu AAML 90 1 0 04 Jan 2022
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control Aaron J. Havens Darioush Keivan Peter M. Seiler Geir Dullerud Bin Hu AAML 57 3 0 03 Jan 2022
Adversarial Attack via Dual-Stage Network Erosion Yexin Duan Junhua Zou Xingyu Zhou Wu Zhang Jin Zhang Zhisong Pan AAML SILM 64 5 0 01 Jan 2022
Benign Overfitting in Adversarially Robust Linear Classification Jinghui Chen Yuan Cao Quanquan Gu AAML SILM 78 11 0 31 Dec 2021
Semantic Communications: Principles and Challenges Zhijin Qin Xiaoming Tao Jianhua Lu Wen Tong Geoffrey Ye Li 143 350 0 30 Dec 2021
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 82 1 0 30 Dec 2021
Invertible Image Dataset Protection Kejiang Chen Xianhan Zeng Qichao Ying Sheng Li Zhenxing Qian Xinpeng Zhang 71 7 0 29 Dec 2021
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently Futa Waseda Sosuke Nishikawa Trung-Nghia Le H. Nguyen Isao Echizen SILM 96 37 0 29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 63 5 0 28 Dec 2021