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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
Efficient Adversarial Input Generation via Neural Net Patching Tooba Khan Kumar Madhukar Subodh Vishnu Sharma AAML 53 0 0 30 Nov 2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection Kunlan Xiang Xing Zhang Jinwen She Jinpeng Liu Haohan Wang Shiqi Deng Shancheng Jiang OOD MedIm 101 6 0 30 Nov 2022
A3T: Accuracy Aware Adversarial Training Enes Altinisik Safa Messaoud Husrev Taha Sencar Sanjay Chawla 52 6 0 29 Nov 2022
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples Inderjeet Singh Kazuya Kakizaki Toshinori Araki AAML OOD 77 0 0 29 Nov 2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 63 9 0 29 Nov 2022
Foiling Explanations in Deep Neural Networks Snir Vitrack Tamam Raz Lapid Moshe Sipper AAML 75 17 0 27 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 83 1 0 26 Nov 2022
Deep Learning Training Procedure Augmentations Cristian Simionescu 104 1 0 25 Nov 2022
Seeds Don't Lie: An Adaptive Watermarking Framework for Computer Vision Models Jacob Shams Ben Nassi I. Morikawa Toshiya Shimizu A. Shabtai Yuval Elovici AAML 30 1 0 24 Nov 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition Rohit Gupta Naveed Akhtar Gaurav Kumar Nayak Ajmal Mian M. Shah AAML 69 1 0 23 Nov 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifa Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut AAML 79 6 0 22 Nov 2022
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains Kefan Dong Tengyu Ma OOD 79 21 0 21 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 74 8 0 21 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 126 31 0 21 Nov 2022
Phonemic Adversarial Attack against Audio Recognition in Real World Jiakai Wang Zhendong Chen Zixin Yin Qinghong Yang Xianglong Liu AAML 69 4 0 19 Nov 2022
Adversarial Detection by Approximation of Ensemble Boundary T. Windeatt AAML 190 0 0 18 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 107 20 0 17 Nov 2022
Differentially Private Optimizers Can Learn Adversarially Robust Models Yuan Zhang Zhiqi Bu 83 3 0 16 Nov 2022
Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation Zhiqi Bu AAML 57 0 0 09 Nov 2022
Preserving Semantics in Textual Adversarial Attacks David Herel Hugo Cisneros Tomas Mikolov AAML 102 6 0 08 Nov 2022
Deviations in Representations Induced by Adversarial Attacks Danielle L Steinberg P. Munro AAML 28 0 0 07 Nov 2022
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI Rezwan Firuzi Hamed Ahmadyani Mohammad Foad Abdi Dana Naderi Jahanfar Hassan Ayub Bokani AI4CE 103 1 0 07 Nov 2022
Adversarial Defense via Neural Oscillation inspired Gradient Masking Chunming Jiang Yilei Zhang AAML 61 2 0 04 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 148 11 0 03 Nov 2022
Data-free Defense of Black Box Models Against Adversarial Attacks Gaurav Kumar Nayak Inder Khatri Ruchit Rawal Anirban Chakraborty AAML 71 1 0 03 Nov 2022
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation Tomokatsu Takahashi Masanori Yamada Yuuki Yamanaka Tomoya Yamashita 55 1 0 01 Nov 2022
Symmetric Saliency-based Adversarial Attack To Speaker Identification Jiadi Yao Xing Chen Xiao-Lei Zhang Weiqiang Zhang Kunde Yang AAML 76 9 0 30 Oct 2022
Benchmarking Adversarial Patch Against Aerial Detection Jiawei Lian Shaohui Mei Shun Zhang Mingyang Ma AAML 99 58 0 30 Oct 2022
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation Fengfan Zhou H. Ling Yuxuan Shi Jiazhong Chen Zongyi Li Ping Li AAML 138 7 0 28 Oct 2022
Noise Injection Node Regularization for Robust Learning N. Levi I. Bloch M. Freytsis T. Volansky AI4CE 64 2 0 27 Oct 2022
Isometric 3D Adversarial Examples in the Physical World Yibo Miao Yinpeng Dong Junyi Zhu Xiao-Shan Gao 104 32 0 27 Oct 2022
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation Han Zhang Zhen Zhang Hongfei Jiang Yang Song 40 0 0 26 Oct 2022
LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu AAML 68 6 0 26 Oct 2022
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks Murat Kuzlu Ferhat Ozgur Catak S. Sarp U. Cali O. Gueler 104 8 0 25 Oct 2022
Effective Targeted Attacks for Adversarial Self-Supervised Learning Minseon Kim Hyeonjeong Ha Sooel Son Sung Ju Hwang AAML 75 3 0 19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 98 6 0 19 Oct 2022
ODG-Q: Robust Quantization via Online Domain Generalization Chaofan Tao Ngai Wong MQ 91 1 0 17 Oct 2022
Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples Hui Liu Bo Zhao Kehuan Zhang Peng Liu AAML 67 4 0 16 Oct 2022
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers Ruidi Chen Boran Hao I. Paschalidis 82 6 0 15 Oct 2022
Is Face Recognition Safe from Realizable Attacks? Sanjay Saha Terence Sim CVBM AAML 44 3 0 15 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks An Tao Yueqi Duan Yingqi Wang Jiwen Lu Jie Zhou AAML 85 6 0 15 Oct 2022
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops Nicholas Rober Michael Everett Songan Zhang Jonathan P. How 61 9 0 14 Oct 2022
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models Zeyang Sha Zheng Li Ning Yu Yang Zhang DiffM 109 135 0 13 Oct 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization Zhiyuan Zhang Ruixuan Luo Qi Su Xueting Sun 105 13 0 13 Oct 2022
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient F. Nikfam Alberto Marchisio Maurizio Martina Mohamed Bennai AAML 55 0 0 13 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 72 48 0 12 Oct 2022
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling Ruiyuan Kang D. Kyritsis P. Liatsis AI4CE PINN 75 5 0 12 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 83 84 0 12 Oct 2022
Effectiveness of the Recent Advances in Capsule Networks Nidhin Harilal Rohan Patil 35 0 0 11 Oct 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? Nikolaos Tsilivis Julia Kempe AAML 98 20 0 11 Oct 2022