v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown

Title
Game-Theoretic Understanding of Misclassification Kosuke Sumiyasu K. Kawamoto Hiroshi Kera 64 1 0 07 Oct 2022
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems Chawin Sitawarin Florian Tramèr Nicholas Carlini AAML 118 8 0 07 Oct 2022
Bad Citrus: Reducing Adversarial Costs with Model Distances Giorgio Severi Will Pearce Alina Oprea AAML 74 1 0 06 Oct 2022
Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim Charles Guille-Escuret Ioannis Mitliagkas Irina Rish David M. Krueger P. Bashivan OOD 51 6 0 06 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 71 8 0 06 Oct 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data Ching-Yun Ko Pin-Yu Chen Jeet Mohapatra Payel Das Lucani E. Daniel 111 3 0 06 Oct 2022
When not to use machine learning: a perspective on potential and limitations Matthew R. Carbone 28 28 0 06 Oct 2022
Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks Qi Peng Wen-ling Liu Ruoxi Qin Libin Hou Bin Yan Linyuan Wang AAML 74 3 0 06 Oct 2022
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition Luke Rowe Benjamin Thérien Krzysztof Czarnecki Hongyang R. Zhang OOD 58 0 0 05 Oct 2022
On Adversarial Robustness of Deep Image Deblurring Kanchana Vaishnavi Gandikota Paramanand Chandramouli Michael Moeller 92 13 0 05 Oct 2022
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 131 11 0 05 Oct 2022
Jitter Does Matter: Adapting Gaze Estimation to New Domains Ruicong Liu Yiwei Bao Mingjie Xu Haofei Wang Yunfei Liu Feng Lu OOD 104 6 0 05 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks Shengming Yuan Qilong Zhang Lianli Gao Yaya Cheng Jingkuan Song AAML 99 47 0 05 Oct 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models Fan Liu Haowen Liu Wenzhao Jiang OOD 134 35 0 05 Oct 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 96 8 0 04 Oct 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao AAML 52 6 0 04 Oct 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints Jiajin Li Si-Jian Lin Jose H. Blanchet Viet Anh Nguyen OOD 98 11 0 04 Oct 2022
Strength-Adaptive Adversarial Training Chaojian Yu Dawei Zhou Li Shen Jun Yu Bo Han Biwei Huang Nannan Wang Tongliang Liu OOD 56 2 0 04 Oct 2022
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks Huimin Zeng Zhenrui Yue Yang Zhang Ziyi Kou Lanyu Shang Dong Wang OOD AAML 73 7 0 03 Oct 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning Buyun Liang Tim Mitchell Ju Sun OOD 118 7 0 03 Oct 2022
Stability Analysis and Generalization Bounds of Adversarial Training Jiancong Xiao Yanbo Fan Ruoyu Sun Jue Wang Zhimin Luo AAML 85 31 0 03 Oct 2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop Weixia Zhang Dingquan Li Xiongkuo Min Guangtao Zhai Guodong Guo Xiaokang Yang Kede Ma OOD 81 35 0 03 Oct 2022
Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection Xuan-Bo Chen Haibin Wu Helen Meng Hung-yi Lee J. Jang AAML 106 4 0 03 Oct 2022
$Optimization for Robustness Evaluation beyond $\ell_p$ Metrics$ Optimization for Robustness Evaluation beyond $\ell_p$ Metrics Hengyue Liang Buyun Liang Ying Cui Tim Mitchell Ju Sun AAML 47 3 0 02 Oct 2022
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis Jiancong Xiao Zeyu Qin Yanbo Fan Baoyuan Wu Jue Wang Zhimin Luo AAML 124 7 0 02 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 75 13 0 02 Oct 2022
Adversarial Attacks on Transformers-Based Malware Detectors Yash Jakhotiya Heramb Patil Jugal Rawlani Dr. Sunil B. Mane AAML 45 4 0 01 Oct 2022
DeltaBound Attack: Efficient decision-based attack in low queries regime L. Rossi AAML 78 0 0 01 Oct 2022
On the tightness of linear relaxation based robustness certification methods Cheng Tang AAML 81 0 0 01 Oct 2022
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks Eleanor Clifford Ilia Shumailov Yiren Zhao Ross J. Anderson Robert D. Mullins 99 14 0 30 Sep 2022
Improving Robustness with Adaptive Weight Decay Amin Ghiasi Ali Shafahi R. Ardekani OOD 46 8 0 30 Sep 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling P. Bashivan Adam Ibrahim Amirozhan Dehghani Yifei Ren OOD 79 5 0 30 Sep 2022
Differentially Private Optimization on Large Model at Small Cost Zhiqi Bu Yu Wang Sheng Zha George Karypis 112 55 0 30 Sep 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 129 114 0 30 Sep 2022
Hiding Visual Information via Obfuscating Adversarial Perturbations Zhigang Su Dawei Zhou Nannan Wangu Decheng Liu Zhen Wang Xinbo Gao AAML 39 11 0 30 Sep 2022
Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri Arshia Soltani Moakhar Arman Zarei Reihaneh Zohrabi M. T. Manzuri M. Rohban OODD 111 17 0 30 Sep 2022
Generalizability of Adversarial Robustness Under Distribution Shifts Kumail Alhamoud Hasan Hammoud Motasem Alfarra Guohao Li OOD 135 9 0 29 Sep 2022
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks Neophytos Christou Di Jin Vaggelis Atlidakis Baishakhi Ray V. Kemerlis 88 16 0 29 Sep 2022
Access Control with Encrypted Feature Maps for Object Detection Models Teru Nagamori Hiroki Ito AprilPyone Maungmaung Hitoshi Kiya 63 2 0 29 Sep 2022
Towards Lightweight Black-Box Attacks against Deep Neural Networks Chenghao Sun Yonggang Zhang Chaoqun Wan Qizhou Wang Ya Li Tongliang Liu Bo Han Xinmei Tian AAML MLAU 93 5 0 29 Sep 2022
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 151 39 0 28 Sep 2022
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks Kevin Hector Mathieu Dumont Pierre-Alain Moëllic J. Dutertre AAML 53 4 0 28 Sep 2022
Exploring the Relationship between Architecture and Adversarially Robust Generalization Aishan Liu Shiyu Tang Siyuan Liang Ruihao Gong Boxi Wu Xianglong Liu Dacheng Tao AAML 93 19 0 28 Sep 2022
Discussion about Attacks and Defenses for Fair and Robust Recommendation System Design Mira Kim Simon S. Woo 117 0 0 28 Sep 2022
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise Svetlana Pavlitskaya Joël Oswald J. Marius Zöllner NoLa AAML 44 5 0 27 Sep 2022
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection Svetlana Pavlitskaya Jonas Hendl Sebastian Kleim Leopold Müller Fabian Wylczoch J. Marius Zöllner AAML 72 4 0 27 Sep 2022
Stability Via Adversarial Training of Neural Network Stochastic Control of Mean-Field Type J. Barreiro‐Gomez S. E. Choutri Boualem Djehiche OOD AAML 13 2 0 27 Sep 2022
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals Ferhat Ozgur Catak Murat Kuzlu S. Sarp Evren Çatak Umit Cali AAML 50 3 0 27 Sep 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee Hyungyu Lee AAML 58 2 0 27 Sep 2022
FG-UAP: Feature-Gathering Universal Adversarial Perturbation Zhixing Ye Xinwen Cheng Xiaolin Huang AAML 108 11 0 27 Sep 2022