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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
A Perturbation Resistant Transformation and Classification System for Deep Neural Networks Nathaniel R. Dean D. Sarkar AAML 17 0 0 25 Aug 2022
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation Qiyuan Chen Raed Al Kontar Maher Nouiehed Xi Yang Corey A. Lester AAML 60 2 0 24 Aug 2022
Black-box Attacks Against Neural Binary Function Detection Josh Bundt Michael Davinroy Ioannis Agadakos Alina Oprea William K. Robertson AAML 51 1 0 24 Aug 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries Dongbin Na Sangwoo Ji Jong Kim AAML 71 17 0 24 Aug 2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling Guanting Dong Daichi Guo Liwen Wang Xuefeng Li Zechen Wang ... Hao Lei Xinyue Cui Yi Huang Junlan Feng Weiran Xu 72 12 0 24 Aug 2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps Mohammadreza Amirian Friedhelm Schwenker Thilo Stadelmann AAML 74 16 0 24 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 157 121 0 24 Aug 2022
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability Shahroz Tariq B. Le Simon S. Woo AAML AI4TS 50 4 0 24 Aug 2022
Auditing Membership Leakages of Multi-Exit Networks Zheng Li Yiyong Liu Xinlei He Ning Yu Michael Backes Yang Zhang AAML 73 34 0 23 Aug 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 101 51 0 23 Aug 2022
Transferability Ranking of Adversarial Examples Mosh Levy Guy Amit Yuval Elovici Yisroel Mirsky AAML 117 0 0 23 Aug 2022
Adversarial Vulnerability of Temporal Feature Networks for Object Detection Svetlana Pavlitskaya Nikolai Polley Michael Weber J. Marius Zöllner AAML 63 3 0 23 Aug 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection Simin Li Huangxinxin Xu Jiakai Wang Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 64 6 0 23 Aug 2022
Different Spectral Representations in Optimized Artificial Neural Networks and Brains Richard C. Gerum Cassidy Pirlot Alona Fyshe J. Zylberberg AAML 52 1 0 22 Aug 2022
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism Yongwei Wang Yuanpei Li Zhiqi Shen Yuhui Qiao DiffM MedIm 72 5 0 22 Aug 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 94 10 0 22 Aug 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 83 32 0 21 Aug 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition Jiachen Sun Weili Nie Zhiding Yu Z. Morley Mao Chaowei Xiao DiffM 67 25 0 21 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 71 20 0 21 Aug 2022
Generalised Co-Salient Object Detection Jiawei Liu Jing Zhang Ruikai Cui Kaihao Zhang Weihao Li Nick Barnes 59 3 0 20 Aug 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective Gihyun Kim Juyeop Kim Jong-Seok Lee AAML ViT 45 6 0 20 Aug 2022
A Novel Plug-and-Play Approach for Adversarially Robust Generalization Deepak Maurya Adarsh Barik Jean Honorio OOD AAML 83 0 0 19 Aug 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA Rachneet Sachdeva Haritz Puerto Tim Baumgärtner Sewin Tariverdian Hao Zhang Kexin Wang H. Saad Leonardo F. R. Ribeiro Iryna Gurevych AAML 69 2 0 19 Aug 2022
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks Husheng Han Xingui Hu Kaidi Xu Pucheng Dang Ying Wang Yongwei Zhao Zidong Du Qi Guo Yanzhi Yang Tianshi Chen AAML 101 3 0 19 Aug 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 72 47 0 18 Aug 2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries Manaar Alam Shubhajit Datta Debdeep Mukhopadhyay Arijit Mondal P. Chakrabarti AAML 30 5 0 18 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 69 2 0 18 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance Bahjat Kawar Roy Ganz Michael Elad DiffM 91 39 0 18 Aug 2022
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups Sreeraj Ramachandran A. Rattani FaML 61 15 0 17 Aug 2022
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks Raz Lapid Zvika Haramaty Moshe Sipper AAML MLAU 73 12 0 17 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models Dong Huang Qi Bu Yuhao Qing Haowen Pi Sen Wang Heming Cui OOD AAML 60 0 0 17 Aug 2022
An Efficient Multi-Step Framework for Malware Packing Identification Jong-Wouk Kim Yang-Sae Moon Mi-Jung Choi 23 0 0 17 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 93 56 0 16 Aug 2022
CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models C. Nguyen Caleb Morgan Sudip Mittal 25 4 0 16 Aug 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models Brendon G. Anderson Tanmay Gautam Somayeh Sojoudi OOD 53 2 0 15 Aug 2022
A Human-in-the-Middle Attack against Object Detection Systems Han-Ching Wu Sareh Rowlands Johan Wahlstrom AAML 70 0 0 15 Aug 2022
A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 55 0 0 15 Aug 2022
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee Yaxian Li Bingqing Zhang Guoping Zhao Mingyu Zhang Jiajun Liu Ziwei Wang Jirong Wen 55 1 0 15 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 91 7 0 15 Aug 2022
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in Artificial Neural Networks Lei Jiang Yongqing Liu Shihai Xiao Yansong Chua 63 1 0 14 Aug 2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML 88 3 0 12 Aug 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator Xiang Gao Cheng Luo Qinliang Lin Weicheng Xie Minmin Liu Linlin Shen Keerthy Kusumam Siyang Song 50 5 0 12 Aug 2022
Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks Ferhat Ozgur Catak Murat Kuzlu Evren Çatak Umit Cali Ozgur Guler AAML 53 26 0 12 Aug 2022
On deceiving malware classification with section injection Adeilson Antonio da Silva Maurício Pamplona Segundo 106 4 0 12 Aug 2022
Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks Woo Jae Kim Seunghoon Hong Sung-eui Yoon AAML 76 8 0 11 Aug 2022
Self-Knowledge Distillation via Dropout Hyoje Lee Yeachan Park Hyun Seo Myung-joo Kang FedML 50 16 0 11 Aug 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization Le‐Yu Chen Luo Luo 97 8 0 11 Aug 2022
Reducing Exploitability with Population Based Training Pavel Czempin Adam Gleave AAML 73 6 0 10 Aug 2022
Attention Hijacking in Trojan Transformers Weimin Lyu Songzhu Zheng Teng Ma Haibin Ling Chao Chen 83 8 0 09 Aug 2022
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models Jinyu Fan Yi Zeng AAML 58 1 0 08 Aug 2022