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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,337 papers shown

Title
Self-Healing Robust Neural Networks via Closed-Loop Control Zhuotong Chen Qianxiao Li Zheng Zhang AAML OOD 26 11 0 26 Jun 2022
Defending Multimodal Fusion Models against Single-Source Adversaries Karren D. Yang Wan-Yi Lin M. Barman Filipe Condessa Zico Kolter AAML 63 32 0 25 Jun 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning Baoyuan Wu Hongrui Chen Ruotong Wang Zihao Zhu Shaokui Wei Danni Yuan Chaoxiao Shen ELM AAML 138 146 0 25 Jun 2022
Adversarial Self-Attention for Language Understanding Hongqiu Wu Ruixue Ding Hai Zhao Pengjun Xie Fei Huang Min Zhang 81 12 0 25 Jun 2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML CVBM 79 5 0 25 Jun 2022
QAGAN: Adversarial Approach To Learning Domain Invariant Language Features Shubham Shrivastava Kaiyue Wang OOD 75 2 0 24 Jun 2022
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective Mark Huasong Meng Guangdong Bai Sin Gee Teo Zhe Hou Yan Xiao Yun Lin Jin Song Dong AAML 81 44 0 24 Jun 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems Wen-ming Hou Qianqian Xu Zhiyong Yang Shilong Bao Yuan He Qingming Huang AAML 80 6 0 24 Jun 2022
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments Jiahao Chen Shuyan Huang Zitao Liu Weiqing Luo 23 2 0 24 Jun 2022
On making optimal transport robust to all outliers Kilian Fatras OT 60 0 0 23 Jun 2022
Measuring Representational Robustness of Neural Networks Through Shared Invariances Vedant Nanda Till Speicher Camila Kolling John P. Dickerson Krishna P. Gummadi Adrian Weller 134 14 0 23 Jun 2022
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds Patrick Feeney Sarah Schneider Panagiotis Lymperopoulos Liping Liu matthias. scheutz Michael C. Hughes Dept. of Computer Science 72 6 0 23 Jun 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 108 5 0 23 Jun 2022
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 81 17 0 23 Jun 2022
Understanding the effect of sparsity on neural networks robustness Lukas Timpl R. Entezari Hanie Sedghi Behnam Neyshabur O. Saukh 91 12 0 22 Jun 2022
Guided Diffusion Model for Adversarial Purification from Random Noise Quanlin Wu Hang Ye Yuntian Gu DiffM 68 44 0 22 Jun 2022
Plug and Play Counterfactual Text Generation for Model Robustness Nishtha Madaan Srikanta J. Bedathur Diptikalyan Saha 68 4 0 21 Jun 2022
Using EBGAN for Anomaly Intrusion Detection Yinxue Cui Wenfeng Shen Jian Zhang Weijia Lu Chuang Liu Lingge Sun Sisi Chen 34 3 0 21 Jun 2022
Why Robust Natural Language Understanding is a Challenge Marco Casadio Ekaterina Komendantskaya Verena Rieser M. Daggitt Daniel Kienitz Luca Arnaboldi Wen Kokke OOD AAML 53 0 0 21 Jun 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang Soheil Feizi Sumitra Ganesh Furong Huang AAML 82 10 0 21 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 96 39 0 21 Jun 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum Junlin Wu Yevgeniy Vorobeychik 73 22 0 21 Jun 2022
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks Kenza Amara Rex Ying Zitao Zhang Zhihao Han Yinan Shan U. Brandes S. Schemm Ce Zhang 75 56 0 20 Jun 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method Keiichiro Yamamura Haruki Sato Nariaki Tateiwa Nozomi Hata Toru Mitsutake Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 98 14 0 20 Jun 2022
The Fallacy of AI Functionality Inioluwa Deborah Raji Indra Elizabeth Kumar Aaron Horowitz Andrew D. Selbst 89 198 0 20 Jun 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System Jiaming Zhang Qiaomin Yi Dongyuan Lu Jitao Sang PICV AAML CVBM 32 5 0 19 Jun 2022
Towards Adversarial Attack on Vision-Language Pre-training Models Jiaming Zhang Qiaomin Yi Jitao Sang VLM AAML 91 107 0 19 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection Zhilin Zhao LongBing Cao 73 3 0 19 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data Zhilin Zhao LongBing Cao Kun-Yu Lin OOD 48 2 0 19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao LongBing Cao Kun-Yu Lin 77 6 0 19 Jun 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations Chong Guo Michael J. Lee Guillaume Leclerc Joel Dapello Yug Rao Aleksander Madry J. DiCarlo GAN AAML 50 13 0 19 Jun 2022
High Resolution Point Clouds from mmWave Radar Akarsh Prabhakara Tao Jin Arnav M. Das Gantavya Bhatt Lilly Kumari E. Soltanaghaei J. Bilmes Swarun Kumar Anthony G. Rowe 91 56 0 18 Jun 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 83 11 0 18 Jun 2022
Piecewise Linear Neural Networks and Deep Learning Qinghua Tao Li Li Xiaolin Huang Xiangming Xi Shuning Wang Johan A. K. Suykens 43 30 0 18 Jun 2022
Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning Marin Matsumoto Tsubasa Takahashi Seng Pei Liew M. Oguchi FedML BDL 55 0 0 18 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 94 21 0 18 Jun 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification Natalie Frank Jonathan Niles-Weed AAML 103 15 0 18 Jun 2022
Comment on Transferability and Input Transformation with Additive Noise Hoki Kim Jinseong Park Jaewook Lee AAML 27 1 0 18 Jun 2022
Adversarial Robustness is at Odds with Lazy Training Yunjuan Wang Enayat Ullah Poorya Mianjy R. Arora SILM AAML 114 11 0 18 Jun 2022
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 75 17 0 17 Jun 2022
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection Jinyin Chen Chengyu Jia Haibin Zheng Ruoxi Chen Chenbo Fu AAML 73 12 0 17 Jun 2022
Detecting Adversarial Examples in Batches -- a geometrical approach Danush Kumar Venkatesh Peter Steinbach AAML 58 2 0 17 Jun 2022
Understanding Robust Overfitting of Adversarial Training and Beyond Chaojian Yu Bo Han Li Shen Jun Yu Chen Gong Biwei Huang Tongliang Liu OOD 77 60 0 17 Jun 2022
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation Wen Sun Jian Jin Weisi Lin AAML 81 19 0 17 Jun 2022
Backdoor Attacks on Vision Transformers Akshayvarun Subramanya Aniruddha Saha Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash ViT AAML 56 18 0 16 Jun 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 114 114 0 16 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 83 5 0 16 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 82 20 0 16 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 169 14 0 16 Jun 2022
Catastrophic overfitting can be induced with discriminative non-robust features Guillermo Ortiz-Jiménez Pau de Jorge Amartya Sanyal Adel Bibi P. Dokania P. Frossard Grégory Rogez Philip Torr AAML 61 3 0 16 Jun 2022