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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown

Title
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems Yaniv Nemcovsky Matan Yaakoby A. Bronstein Chaim Baskin AAML 82 8 0 11 Jul 2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation Zhun Zhong Yuyang Zhao G. Lee N. Sebe OOD 105 74 0 11 Jul 2022
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems I. Aliyu Sélinde Van Engelenburg Muhammed Muazu Jinsul Kim C. Lim AAML 74 15 0 11 Jul 2022
Repairing Neural Networks by Leaving the Right Past Behind Ryutaro Tanno Melanie F. Pradier A. Nori Yingzhen Li KELM 160 33 0 11 Jul 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches Zhiyuan Cheng James Liang Hongjun Choi Guanhong Tao Zhiwen Cao Dongfang Liu Xiangyu Zhang AAML MDE 68 86 0 11 Jul 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation Quanyu Long Tianze Luo Wenya Wang Sinno Jialin Pan 108 8 0 10 Jul 2022
One-shot Neural Backdoor Erasing via Adversarial Weight Masking Shuwen Chai Jinghui Chen AAML 79 35 0 10 Jul 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 81 3 0 09 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 73 5 0 08 Jul 2022
A law of adversarial risk, interpolation, and label noise Daniel Paleka Amartya Sanyal NoLa AAML 103 10 0 08 Jul 2022
Defense Against Multi-target Trojan Attacks Haripriya Harikumar Santu Rana Kien Do Sunil R. Gupta W. Zong Willy Susilo Svetha Venkatesh AAML 56 4 0 08 Jul 2022
Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future Byunggill Joe I. Shin Jihun Hamm AAML 22 0 0 08 Jul 2022
Guiding the retraining of convolutional neural networks against adversarial inputs Francisco Durán Silverio Martínez-Fernández Michael Felderer Xavier Franch AAML 117 1 0 08 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation Jin Gao Jialing Zhang Xihui Liu Trevor Darrell Evan Shelhamer Dequan Wang TTA 123 55 0 07 Jul 2022
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network Seongjin Park Haedong Jeong Giyoung Jeon Jaesik Choi AAML 33 1 0 07 Jul 2022
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions Kosuke Nishida Kyosuke Nishida Shuichi Nishioka VLM 77 7 0 07 Jul 2022
Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information Cory E. Merkel AAML 20 1 0 06 Jul 2022
Adversarial Robustness of Visual Dialog Lu Yu Verena Rieser AAML 81 0 0 06 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Kyunghyun Cho Marzyeh Ghassemi OOD 61 5 0 05 Jul 2022
RepMix: Representation Mixing for Robust Attribution of Synthesized Images Tu Bui Ning Yu John Collomosse 87 35 0 05 Jul 2022
Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling Daniel Wang Jiayu Lin Yuansheng Wang AAML 47 6 0 05 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch Ke Xu Yao Xiao Zhao-Heng Zheng Kaijie Cai Ramkant Nevatia AAML 115 32 0 05 Jul 2022
Vision-and-Language Pretraining Thong Nguyen Cong-Duy Nguyen Xiaobao Wu See-Kiong Ng Anh Tuan Luu VLM CLIP 65 2 0 05 Jul 2022
Hessian-Free Second-Order Adversarial Examples for Adversarial Learning Yaguan Qian Yu-qun Wang Bin Wang Zhaoquan Gu Yu-Shuang Guo Wassim Swaileh AAML 106 3 0 04 Jul 2022
Factorizing Knowledge in Neural Networks Xingyi Yang Jingwen Ye Xinchao Wang MoMe 133 126 0 04 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen Peihao Wang Zhiwen Fan Zhangyang Wang 106 55 0 04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 107 42 0 04 Jul 2022
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries Keshav Kasichainula Hadi Mansourifar W. Shi AAML 73 1 0 04 Jul 2022
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models Yi Zhang Junyan Wang Jitao Sang 93 28 0 03 Jul 2022
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs Edith Cohen Jelani Nelson Tamas Sarlos Uri Stemmer AAML 74 8 0 03 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator Katherine M. Collins Umang Bhatt Adrian Weller 86 47 0 02 Jul 2022
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks Jiaxiang Liu Yunhan Xing Xiaomu Shi Fu Song Zhiwu Xu Zhong Ming 68 11 0 02 Jul 2022
Efficient Adversarial Training With Data Pruning Maximilian Kaufmann Yiren Zhao Ilia Shumailov Robert D. Mullins Nicolas Papernot AAML 117 9 0 01 Jul 2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label Shengshan Hu Ziqi Zhou Yechao Zhang L. Zhang Yifeng Zheng Yuanyuan HE Hai Jin AAML 107 46 0 01 Jul 2022
Discriminator-Guided Model-Based Offline Imitation Learning Wenjia Zhang Haoran Xu Haoyi Niu Peng Cheng Ming Li Heming Zhang Guyue Zhou Xianyuan Zhan OffRL 108 19 0 01 Jul 2022
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors Federica Granese Marine Picot Marco Romanelli Francisco Messina Pablo Piantanida AAML 79 3 0 30 Jun 2022
Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations Mingyu Dong Jiahao Chen Diqun Yan Jingxing Gao Li Dong Rangding Wang AAML 56 0 0 30 Jun 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 88 18 0 29 Jun 2022
Teach me how to Interpolate a Myriad of Embeddings Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 84 2 0 29 Jun 2022
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth AAML 88 17 0 29 Jun 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra Aleksander Madry 97 90 0 29 Jun 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models Lele Wang B. Liu UQCV 57 5 0 29 Jun 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 90 39 0 29 Jun 2022
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 152 16 0 29 Jun 2022
An Empirical Study of Challenges in Converting Deep Learning Models Moses Openja Amin Nikanjam Ahmed Haj Yahmed Foutse Khomh Zhen Ming Zhengyong Jiang AAML 104 19 0 28 Jun 2022
Rethinking Adversarial Examples for Location Privacy Protection Trung-Nghia Le Ta Gu H. Nguyen Isao Echizen AAML 34 1 0 28 Jun 2022
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks Yulin Zhu Tomasz P. Michalak Xiapu Luo Xiaoge Zhang Kai Zhou AAML 59 0 0 27 Jun 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks Liangming Chen Long Jin Mingsheng Shang MLT 77 8 0 27 Jun 2022
Adversarial Example Detection in Deployed Tree Ensembles Laurens Devos Wannes Meert Jesse Davis AAML 49 1 0 27 Jun 2022
Adversarially Robust PAC Learnability of Real-Valued Functions Idan Attias Steve Hanneke 62 6 0 26 Jun 2022