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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 93 10 0 19 Jul 2023
Application of BadNets in Spam Filters Swagnik Roychoudhury A. Veldanda 23 0 0 18 Jul 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng Tejas Gokhale Yezhou Yang OOD 67 16 0 18 Jul 2023
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space Haibin Zheng Jinyin Chen Haibo Jin AAML 57 7 0 18 Jul 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller Margret Keuper 78 1 0 18 Jul 2023
GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction Xinxing Yang Gen-ke Yang Jian Chu 29 12 0 18 Jul 2023
Discretization-based ensemble model for robust learning in IoT Anahita Namvar Chandra Thapa S. Kanhere AAML OOD 68 1 0 18 Jul 2023
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems Xugui Zhou Anqi Chen Maxfield Kouzel Haotian Ren Morgan McCarty Cristina Nita-Rotaru H. Alemzadeh AAML 104 2 0 18 Jul 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 135 9 0 18 Jul 2023
Co(ve)rtex: ML Models as storage channels and their (mis-)applications Md Abdullah Al Mamun Quazi Mishkatul Alam Erfan Shayegani Pedram Zaree Ihsen Alouani Nael B. Abu-Ghazaleh 83 0 0 17 Jul 2023
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation Run Luo Wenjing Wang Wenhan Yang Jiaying Liu VLM 137 12 0 17 Jul 2023
A DPLL(T) Framework for Verifying Deep Neural Networks Hai V. Duong Thanh-Dat Nguyen Matthew B. Dwyer 101 10 0 17 Jul 2023
Adversarial Attacks on Traffic Sign Recognition: A Survey Svetlana Pavlitska Nico Lambing J. Marius Zöllner AAML 88 18 0 17 Jul 2023
Covert Communication in Autoencoder Wireless Systems Ali Mohammadi Teshnizi Majid Ghaderi Dennis Goeckel 41 1 0 17 Jul 2023
Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector Shuohao Lin Ernie Chu Che-Hsien Lin Jun-Cheng Chen Jia-Ching Wang DiffM 80 10 0 16 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 77 10 0 16 Jul 2023
On the Robustness of Split Learning against Adversarial Attacks Mingyuan Fan Cen Chen Chengyu Wang Wenmeng Zhou Jun Huang AAML 60 8 0 16 Jul 2023
Unified Adversarial Patch for Cross-modal Attacks in the Physical World Xingxing Wei Yao Huang Yitong Sun Jie Yu AAML 84 27 0 15 Jul 2023
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty Guanin Liu Zhihan Zhou Han Liu Lifeng Lai 63 2 0 15 Jul 2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World Donghua Wang Wen Yao Tingsong Jiang Chong Li Xiaoqian Chen AAML 69 31 0 14 Jul 2023
Capsule network with shortcut routing Thanh-Vu Dang Hoang-Trong Vo Gwanghyun Yu Jin Young Kim 64 1 0 14 Jul 2023
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation Asif Hanif Muzammal Naseer Salman Khan M. Shah Fahad Shahbaz Khan AAML OOD 70 5 0 14 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 95 9 0 14 Jul 2023
Alleviating the Effect of Data Imbalance on Adversarial Training Guanlin Li Guowen Xu Tianwei Zhang 105 2 0 14 Jul 2023
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification Neng Dong Liyan Zhang Shuanglin Yan Hao Tang Jinhui Tang AAML 94 23 0 14 Jul 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 59 2 0 14 Jul 2023
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects Rishabh Ranjan Mayank Vatsa Richa Singh 74 4 0 13 Jul 2023
Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 55 0 0 13 Jul 2023
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 71 1 0 12 Jul 2023
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models Agnimitra Sengupta Sudeepta Mondal A. Das S. I. Guler BDL UQCV 58 13 0 12 Jul 2023
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes Connor Toups Rishi Bommasani Kathleen A. Creel S. Bana Dan Jurafsky Percy Liang 100 10 0 12 Jul 2023
Implicit regularisation in stochastic gradient descent: from single-objective to two-player games Mihaela Rosca M. Deisenroth 63 2 0 11 Jul 2023
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 76 14 0 11 Jul 2023
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition Sihan Song Furao Shen Jian Zhao 58 3 0 11 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 92 67 0 11 Jul 2023
ATWM: Defense against adversarial malware based on adversarial training Kunkun Li Fan Zhang Wei Guo AAML 45 0 0 11 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 90 14 0 10 Jul 2023
Robust Feature Learning Against Noisy Labels Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang NoLa 51 1 0 10 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty Tao Wu Tie-Mei Luo D. Wunsch AAML 76 10 0 09 Jul 2023
Random Position Adversarial Patch for Vision Transformers Mingzhen Shao ViT AAML 74 2 0 09 Jul 2023
Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training Masaaki Imaizumi AAML 71 4 0 08 Jul 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness Jovon Craig Joshua Andle Theodore S. Nowak Salimeh Yasaei Sekeh AAML 69 0 0 07 Jul 2023
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints Matthias Anton Freiberger Peter Kun Christian Igel A. Løvlie S. Risi VLM AAML 110 2 0 07 Jul 2023
A Vulnerability of Attribution Methods Using Pre-Softmax Scores Miguel A. Lerma Mirtha Lucas FAtt 58 0 0 06 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Günter Klambauer Sepp Hochreiter UQCV 90 17 0 06 Jul 2023
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic Zióu Zheng Xiao-Dan Zhu AAML LRM 100 6 0 06 Jul 2023
Kernels, Data & Physics Francesco Cagnetta Deborah Oliveira Mahalakshmi Sabanayagam Nikolaos Tsilivis Julia Kempe 98 0 0 05 Jul 2023
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations Julia Lust Alexandru Paul Condurache AAML UQCV 61 0 0 05 Jul 2023
Evade ChatGPT Detectors via A Single Space Shuyang Cai Wanyun Cui DeLMO 53 20 0 05 Jul 2023
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness C. Hartmann Lorenz Richter AAML 62 2 0 05 Jul 2023