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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval Yanru Xiao Cong Wang Xing Gao AAML 132 0 0 09 Apr 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 78 2 0 08 Apr 2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks Alberto Marchisio Antonio De Marco Alessio Colucci Maurizio Martina Mohamed Bennai AAML 60 2 0 08 Apr 2023
Benchmarking the Robustness of Quantized Models Yisong Xiao Tianyuan Zhang Shunchang Liu Haotong Qin AAML MQ 69 2 0 08 Apr 2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack Dashan Gao Yunce Zhao Yinghua Yao Zeqi Zhang Bifei Mao Xin Yao AAML 66 0 0 08 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan O. Arik S. Jha Tomas Pfister 113 1 0 07 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 80 6 0 06 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawé Marianne Abémgnigni Njifon Jonathan Heek Yann N. Dauphin OOD 42 5 0 06 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 104 8 0 06 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 59 5 0 05 Apr 2023
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability Martin Gubri Maxime Cordy Yves Le Traon AAML 92 3 1 05 Apr 2023
Hyper-parameter Tuning for Adversarially Robust Models Pedro Mendes Paolo Romano David Garlan AAML 44 2 0 05 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo Chuofan Ma Yi Jiang Zehuan Yuan Yizhou Yu Ping Luo DiffM 86 8 0 04 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim Bohyung Han AAML 87 2 0 04 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning Taehoon Kim Jaeyoo Park Bohyung Han CLL 88 5 0 04 Apr 2023
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks Vineel Nagisetty Laura Graves Guanting Pan Piyush Jha Vijay Ganesh AAML OOD 59 1 0 04 Apr 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation Lu Chen Siyu Lou Keyan Zhang Jin Huang Quanshi Zhang TDI FAtt 96 9 0 04 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems Ivica Kicic Pantelis R. Vlachas G. Arampatzis Michail Chatzimanolakis Leonidas Guibas Petros Koumoutsakos AI4CE 65 6 0 04 Apr 2023
An interpretability framework for Similar case matching Nankai Lin Haonan Liu Jiajun Fang Dong-ping Zhou Aimin Yang 29 1 0 04 Apr 2023
Model-Agnostic Reachability Analysis on Deep Neural Networks Chi Zhang Wenjie Ruan Fu Lee Wang Peipei Xu Geyong Min Xiaowei Huang 63 3 0 03 Apr 2023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies Ligong Han Seung-Jun Han Shivchander Sudalairaj Charlotte Loh Rumen Dangovski ... Pulkit Agrawal Dimitris N. Metaxas Leonid Karlinsky Tsui-Wei Weng Akash Srivastava 98 1 0 02 Apr 2023
GradMDM: Adversarial Attack on Dynamic Networks Jianhong Pan Lin Geng Foo Qichen Zheng Zhipeng Fan Hossein Rahmani Qiuhong Ke Jing Liu AAML 85 7 0 01 Apr 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 100 32 0 01 Apr 2023
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference Abhinav Kumar Miguel A. Guirao Aguilera R. Tourani Satyajayant Misra AAML 76 0 0 31 Mar 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 96 2 0 31 Mar 2023
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection Zhuoxiao Li Zhihang Zhong S. Nobuhara Ko Nishino Yinqiang Zheng AAML 91 1 0 31 Mar 2023
Towards Adversarially Robust Continual Learning Tao Bai Chen Chen Lingjuan Lyu Jun Zhao Bihan Wen AAML 88 9 0 31 Mar 2023
Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness T. Redgrave Colton R. Crum AAML 40 0 0 30 Mar 2023
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving Zijian Zhu Yichi Zhang Hai Chen Yinpeng Dong Shu Zhao Wenbo Ding Jiachen Zhong Shibao Zheng AAML 3DPC 85 44 0 30 Mar 2023
Fooling the Image Dehazing Models by First Order Gradient Jie Gui Xiaofeng Cong Chengwei Peng Yuan Yan Tang James T. Kwok AAML 54 9 0 30 Mar 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing Xiaodan Li YueFeng Chen Yao Zhu Shuhui Wang Rong Zhang Hui Xue 82 26 0 30 Mar 2023
A Tensor-based Convolutional Neural Network for Small Dataset Classification Zhenhua Chen David J. Crandall 60 0 0 29 Mar 2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation Wei Wei Jiahuan Zhou Hongze Li Yingying Wu 38 1 0 29 Mar 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 46 0 0 29 Mar 2023
Latent Feature Relation Consistency for Adversarial Robustness Xingbin Liu Huafeng Kuang Hong Liu Xianming Lin Yongjian Wu Rongrong Ji AAML 61 3 0 29 Mar 2023
Targeted Adversarial Attacks on Wind Power Forecasts René Heinrich Christoph Scholz S. Vogt Malte Lehna AAML 117 16 0 29 Mar 2023
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion Haomin Zhuang Yihua Zhang Sijia Liu DiffM 85 70 0 29 Mar 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan Soheil Feizi OOD AAML AI4TS 67 1 0 28 Mar 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 94 28 0 28 Mar 2023
Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir Kristian Schwethelm Niels Landwehr 62 17 0 28 Mar 2023
Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm Bakary Badjie José Cecílio António Casimiro AAML 62 3 0 28 Mar 2023
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition Xiaohu Yang Chang-Shu Liu Longlong Xu Yikai Wang Yinpeng Dong Ning Chen Hang Su Jun Zhu AAML 80 41 0 28 Mar 2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization Jianping Zhang Yizhan Huang Weibin Wu Michael R. Lyu AAML ViT 82 54 0 28 Mar 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method Jianping Zhang Jen-tse Huang Wenxuan Wang Yichen Li Weibin Wu Xiaosen Wang Yuxin Su Michael R. Lyu AAML 113 52 0 28 Mar 2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage Ruyi Ding Gongye Cheng Siyue Wang A. A. Ding Yunsi Fei AAML 54 7 0 27 Mar 2023
Zero-shot Model Diagnosis Jinqi Luo Zhaoning Wang Chen Henry Wu Dong Huang Fernando de la Torre VLM 92 21 0 27 Mar 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models Pierre Fernandez Guillaume Couairon Hervé Jégou Matthijs Douze Teddy Furon WIGM 133 198 0 27 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis T. Le Hao Phung Thuan Hoang Nguyen Quan Dao Ngoc N. Tran Anh Tran 109 100 0 27 Mar 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging Alessandro Fontanella Antreas Antoniou Wenwen Li Joanna M. Wardlaw Grant Mair Emanuele Trucco Amos Storkey MedIm 83 11 0 27 Mar 2023
Human Pose Estimation in Extremely Low-Light Conditions Sohyun Lee Jaesung Rim Boseung Jeong Geon-Yeong Kim Byungju Woo Haechan Lee Sung-Jin Cho Suha Kwak VLM 92 24 0 27 Mar 2023