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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks Xiao-Li Li Ziqi Wang Bo Zhang Gang Hua Xiaolin Hu 72 26 0 04 Dec 2022
LDL: A Defense for Label-Based Membership Inference Attacks Arezoo Rajabi D. Sahabandu Luyao Niu Bhaskar Ramasubramanian Radha Poovendran AAML 49 4 0 03 Dec 2022
Prediction of Scene Plausibility O. Nachmias Ohad Fried Ariel Shamir 3DV 78 0 0 02 Dec 2022
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks Michal Jamro.z Marcin Kurdziel 46 0 0 01 Dec 2022
Hijack Vertical Federated Learning Models As One Party Pengyu Qiu Xuhong Zhang Shouling Ji Changjiang Li Yuwen Pu Xing Yang Ting Wang FedML 117 5 0 01 Dec 2022
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations Hong-Ming Chiu Richard Y. Zhang AAML 82 3 0 30 Nov 2022
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations Haniyeh Ehsani Oskouie Farzan Farnia FAtt AAML 77 5 0 30 Nov 2022
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
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory Jin-Lin Tang B. Tao Zeyu Gong Zhoupin Yin AI4CE 61 1 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
Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks Mathias Lechner Dorde Zikelic K. Chatterjee T. Henzinger Daniela Rus AAML 61 4 0 29 Nov 2022
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering Kazutoshi Shinoda Saku Sugawara Akiko Aizawa OOD AAML 52 0 0 29 Nov 2022
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime Yuqing Gao Pengyuan Zhai K. Mosalam GAN AI4CE 54 79 0 29 Nov 2022
Towards More Robust Interpretation via Local Gradient Alignment Sunghwan Joo Seokhyeon Jeong Juyeon Heo Adrian Weller Taesup Moon FAtt 88 6 0 29 Nov 2022
Data Poisoning Attack Aiming the Vulnerability of Continual Learning Gyojin Han Jaehyun Choi H. Hong Junmo Kim AAML 35 2 0 29 Nov 2022
Understanding the Impact of Adversarial Robustness on Accuracy Disparity Yuzheng Hu Fan Wu Hongyang R. Zhang Hang Zhao 80 8 0 28 Nov 2022
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape Linkun Fan Fazhi He Qingchen Guo Wei Tang Xiaolin Hong Bing Li AAML 3DPC 86 9 0 28 Nov 2022
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces Xiaoqing Chen Dongrui Wu AAML 91 3 0 28 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 69 2 0 28 Nov 2022
Imperceptible Adversarial Attack via Invertible Neural Networks Zihan Chen Zifan Wang Junjie Huang Wentao Zhao Xiao Liu Dejian Guan AAML 135 22 0 28 Nov 2022
Adversarial Rademacher Complexity of Deep Neural Networks Jiancong Xiao Yanbo Fan Ruoyu Sun Zhimin Luo AAML 60 23 0 27 Nov 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 84 31 0 27 Nov 2022
Foiling Explanations in Deep Neural Networks Snir Vitrack Tamam Raz Lapid Moshe Sipper AAML 75 17 0 27 Nov 2022
Neural Font Rendering Daniel Anderson Ariel Shamir Ohad Fried GAN AI4CE 51 1 0 27 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs Guangrun Wang Philip Torr 83 9 0 27 Nov 2022
Neural Network Verification as Piecewise Linear Optimization: Formulations for the Composition of Staircase Functions Tu Anh-Nguyen Joey Huchette 65 2 0 27 Nov 2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning Ethan Rathbun Kaleel Mahmood Sohaib Ahmad Caiwen Ding Marten van Dijk AAML 85 5 0 26 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 83 1 0 26 Nov 2022
Exploring Temporal Information Dynamics in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Anna Hambitzer Priyadarshini Panda 93 35 0 26 Nov 2022
Deep Learning Training Procedure Augmentations Cristian Simionescu 104 1 0 25 Nov 2022
The Vanishing Decision Boundary Complexity and the Strong First Component Hengshuai Yao UQCV 68 0 0 25 Nov 2022
SpaText: Spatio-Textual Representation for Controllable Image Generation Omri Avrahami Thomas Hayes Oran Gafni Sonal Gupta Yaniv Taigman Devi Parikh Dani Lischinski Ohad Fried Xiaoyue Yin DiffM 133 210 0 25 Nov 2022
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 62 6 0 25 Nov 2022
Boundary Adversarial Examples Against Adversarial Overfitting Muhammad Zaid Hameed Beat Buesser AAML 57 1 0 25 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization Kyung-Jin Lee Sungyeon Kim Suha Kwak FedML OOD 84 38 0 25 Nov 2022
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes Tomer Stolik Itai Lang S. Avidan AAML 56 1 0 24 Nov 2022
Towards Practical Control of Singular Values of Convolutional Layers Alexandra Senderovich Ekaterina Bulatova Anton Obukhov M. Rakhuba AAML 79 9 0 24 Nov 2022
To be or not to be stable, that is the question: understanding neural networks for inverse problems David Evangelista J. Nagy E. Morotti E. L. Piccolomini 78 5 0 24 Nov 2022
Neural Network Complexity of Chaos and Turbulence Tim Whittaker R. Janik Yaron Oz 68 4 0 24 Nov 2022
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks Seonhye Park A. Abuadbba Shuo Wang Kristen Moore Yansong Gao Hyoungshick Kim Surya Nepal AAML 51 2 0 24 Nov 2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels Guanlin Li Guowen Xu Tianwei Zhang NoLa ISeg 66 0 0 24 Nov 2022
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks Huma Jamil Yajing Liu Christina Cole Nathaniel Blanchard E. King Michael Kirby C. Peterson AAML 58 2 0 23 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
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard Turner 61 3 0 23 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 190 176 0 23 Nov 2022
Safety Analysis of Autonomous Driving Systems Based on Model Learning Renjue Li Tianhang Qin Pengfei Yang Cheng-Chao Huang Youcheng Sun Lijun Zhang 69 1 0 23 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 84 35 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