v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,374 papers shown

Title
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation Chi Liu Tianqing Zhu Sheng Shen Wanlei Zhou AAML 70 8 0 02 Jun 2023
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection Hossein Aboutalebi Daniel Mao Rongqi Fan Carol Xu Chris He Alexander Wong AAML 71 8 0 02 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 62 4 0 02 Jun 2023
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations Yang Sui Zhuohang Li Ding Ding Xiang Pan Xiaozhong Xu Shan Liu Zhenzhong Chen AAML 30 4 0 01 Jun 2023
Improving the Robustness of Summarization Systems with Dual Augmentation Preslav Nakov Guodong Long Chongyang Tao Mingzhe Li Xin Gao Chen Zhang Xiangliang Zhang AAML 68 12 0 01 Jun 2023
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search Qihao Liu Adam Kortylewski Yutong Bai Song Bai Alan Yuille DiffM 125 12 0 01 Jun 2023
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models Mirazul Haque Rutvij J. Shah Simin Chen Berrak cSicsman Cong Liu Wei Yang AuLLM AAML 62 7 0 01 Jun 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review Mathias Lundteigen Mohus Jinyue Li AAML 89 1 0 01 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 186 65 0 01 Jun 2023
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift Liangxuan Guo Yang Chen Shan Yu OODD CLL 34 3 0 01 Jun 2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems Mingyi Zhou Xiang Gao Jing Wu John C. Grundy Xiao Chen Chunyang Chen Li Li AAML 109 13 0 01 Jun 2023
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach Mohammed Alkhowaiter Hisham A. Kholidy Mnassar Alyami Abdulmajeed Alghamdi C. Zou AAML 77 8 0 01 Jun 2023
Graph-based methods coupled with specific distributional distances for adversarial attack detection dwight nwaigwe Lucrezia Carboni Martial Mermillod Sophie Achard M. Dojat AAML 70 3 0 31 May 2023
FedCSD: A Federated Learning Based Approach for Code-Smell Detection Sadi Alawadi Khalid Alkharabsheh Fahed Alkhabbas V. Kebande Feras M. Awaysheh Fabio Palomba Mohammed Awad FedML 46 13 0 31 May 2023
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis Mst. Shapna Akter Hossain Shahriar Iysa Iqbal M. Hossain M. A. Karim Victor A. Clincy R. Voicu AAML 70 8 0 31 May 2023
Probabilistic computation and uncertainty quantification with emerging covariance He Ma Yong Qi Li Zhang Wenlian Lu Jianfeng Feng 51 1 0 30 May 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 68 6 0 30 May 2023
Pseudo-Siamese Network based Timbre-reserved Black-box Adversarial Attack in Speaker Identification Qing Wang Jixun Yao Ziqian Wang Pengcheng Guo Linfu Xie AAML 64 1 0 30 May 2023
Exploiting Explainability to Design Adversarial Attacks and Evaluate Attack Resilience in Hate-Speech Detection Models Pranath Reddy Kumbam Sohaib Uddin Syed Prashanth Thamminedi S. Harish Ian Perera Bonnie J. Dorr AAML 68 1 0 29 May 2023
DelBugV: Delta-Debugging Neural Network Verifiers R. Elsaleh Guy Katz 108 2 0 29 May 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework Yangyi Chen Hongcheng Gao Ganqu Cui Lifan Yuan Dehan Kong ... Longtao Huang H. Xue Zhiyuan Liu Maosong Sun Heng Ji AAML ELM 103 6 0 29 May 2023
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition Nariki Tanaka Hiroshi Kera K. Kawamoto AAML 63 5 0 29 May 2023
NaturalFinger: Generating Natural Fingerprint with Generative Adversarial Networks Kan Yang Kunhao Lai AAML 83 0 0 29 May 2023
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness Zhan Hu Jun Zhu Bo Zhang Xiaolin Hu AAML 72 2 0 28 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning Jingfeng Zhang Bo Song Haohan Wang Bo Han Tongliang Liu Lei Liu Masashi Sugiyama AAML NoLa 86 14 0 28 May 2023
Online Nonstochastic Model-Free Reinforcement Learning Udaya Ghai Arushi Gupta Wenhan Xia Karan Singh Elad Hazan OffRL 96 6 0 27 May 2023
Faster Margin Maximization Rates for Generic and Adversarially Robust Optimization Methods Guanghui Wang Zihao Hu Claudio Gentile Vidya Muthukumar Jacob D. Abernethy 103 0 0 27 May 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL Xiangyu Liu Souradip Chakraborty Yanchao Sun Furong Huang AAML 75 5 0 27 May 2023
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection Nils Palumbo Yang Guo Xi Wu Jiefeng Chen Yingyu Liang S. Jha AAML 113 0 0 27 May 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 134 4 0 27 May 2023
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution Matías P. Pizarro D. Kolossa Asja Fischer AAML 83 1 0 26 May 2023
A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation Zhiyi Xue Si Liu Zhaodi Zhang Yiting Wu Hao Fei AAML 59 2 0 26 May 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 124 25 0 26 May 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Chongxuan Li Ngai-Man Cheung Min Lin VLM AAML MLLM 149 184 0 26 May 2023
Robust Nonparametric Regression under Poisoning Attack Puning Zhao Z. Wan AAML 80 10 0 26 May 2023
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation Amir Samadi K. Koufos Kurt Debattista M. Dianati OffRL 71 3 0 25 May 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability Haotian Xue Alexandre Araujo Bin Hu Yongxin Chen DiffM 145 48 0 25 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text Ashim Gupta Carter Blum Temma Choji Yingjie Fei Shalin S Shah Alakananda Vempala Vivek Srikumar AAML 62 9 0 25 May 2023
On the Robustness of Segment Anything Yihao Huang Yue Cao Tianlin Li Felix Juefei Xu Di Lin Ivor W.Tsang Yang Liu Qing Guo AAML VLM 88 27 0 25 May 2023
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties David Martínez-Rubio Christophe Roux Christopher Criscitiello Sebastian Pokutta 91 6 0 25 May 2023
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks Gehua (Marcus) Ma Rui Yan Huajin Tang 145 22 0 25 May 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score Shuhai Zhang Feng Liu Jiahao Yang Yifan Yang Changsheng Li Bo Han Mingkui Tan DiffM AAML 60 18 0 25 May 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 104 5 0 25 May 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks Xiao Yang Xuejiao Zhao Zhiqi Shen 144 0 0 25 May 2023
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation Xianghao Jiao Yao-Tsorng Liu Jiaxin Gao Xinyuan Chu Risheng Liu Xin-Yue Fan VLM 90 6 0 25 May 2023
Rethinking Diversity in Deep Neural Network Testing Zi Wang Jihye Choi Keming Wang S. Jha 47 2 0 25 May 2023
Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics E. Shumitskaya Anastasia Antsiferova D. Vatolin 75 7 0 24 May 2023
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models David Qiu David Rim Shaojin Ding Oleg Rybakov Yanzhang He MQ 77 4 0 24 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang Xiaohu Yang Chen-Dong Duan Hang Su Jun Zhu 154 60 0 24 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision Gorana Gojić V. Vincan O. Kundacina D. Mišković Dinu Dragan OOD 52 4 0 24 May 2023