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DeepFool: a simple and accurate method to fool deep neural networks

14 November 2015

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "DeepFool: a simple and accurate method to fool deep neural networks"

50 / 2,298 papers shown

Title
Graph-based methods coupled with specific distributional distances for adversarial attack detection dwight nwaigwe Lucrezia Carboni Martial Mermillod Sophie Achard M. Dojat AAML 61 3 0 31 May 2023
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss Moritz Vandenhirtz Laura Manduchi Ricards Marcinkevics Julia E. Vogt 46 3 0 31 May 2023
NaturalFinger: Generating Natural Fingerprint with Generative Adversarial Networks Kan Yang Kunhao Lai AAML 78 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
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 111 0 0 27 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 51 2 0 26 May 2023
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation Amir Samadi K. Koufos Kurt Debattista M. Dianati OffRL 58 3 0 25 May 2023
Dendritic Integration Based Quadratic Neural Networks Outperform Traditional Aritificial Ones Chongmin Liu Songting Li Douglas Zhou 45 0 0 25 May 2023
Federated Composite Saddle Point Optimization Site Bai Brian Bullins FedML 63 0 0 25 May 2023
Fantastic DNN Classifiers and How to Identify them without Data Nathaniel R. Dean D. Sarkar 58 1 0 24 May 2023
Adversarial Defenses via Vector Quantization Zhiyi Dong Yongyi Mao AAML 56 1 0 23 May 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 79 4 0 22 May 2023
FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign Kunkun Li Fan Zhang Wei Guo AAML 29 4 0 22 May 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 84 30 0 19 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 120 62 0 18 May 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend Chong Yu Tao Chen Zhongxue Gan AAML 46 1 0 18 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen Hechang Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 116 72 0 14 May 2023
Improving Defensive Distillation using Teacher Assistant Maniratnam Mandal Suna Gao AAML 15 0 0 14 May 2023
The Case for the Anonymization of Offloaded Computation Md Washik Al Azad Shifat Sarwar Sifat Ut Taki Spyridon Mastorakis 99 0 0 12 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 60 2 0 08 May 2023
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework Ruijia Wu Yuhang Wang Huafeng Shi Zhipeng Yu Yichao Wu Ding Liang DiffM 67 9 0 06 May 2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness Zongxiong Chen Jiahui Geng Derui Zhu Herbert Woisetschlaeger Qing Li Sonja Schimmler Ruben Mayer Chunming Rong DD 79 9 0 05 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 97 4 0 04 May 2023
New Adversarial Image Detection Based on Sentiment Analysis Yulong Wang Tianxiang Li Shenghong Li Xinnan Yuan W. Ni AAML 83 11 0 03 May 2023
Physical Adversarial Attacks for Surveillance: A Survey Kien Nguyen Thanh Tharindu Fernando Clinton Fookes Sridha Sridharan AAML 101 8 0 01 May 2023
Optimizing the AI Development Process by Providing the Best Support Environment Taha Khamis Hamam Mokayed 52 1 0 29 Apr 2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration Peng Chen Xin Du Zhihui Lu Hongfeng Chai FedML AAML 95 11 0 22 Apr 2023
Stochastic MPC Based Attacks on Object Tracking in Autonomous Driving Systems Sourav Sinha M. Farhood AAML 58 0 0 21 Apr 2023
Towards the Universal Defense for Query-Based Audio Adversarial Attacks Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 59 4 0 20 Apr 2023
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction Yuxin Meng Feng Gao Eric Rigall Ran Dong Junyu Dong Q. Du 71 20 0 19 Apr 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 63 2 0 18 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 98 13 0 17 Apr 2023
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems Jiahao Xie Ye Luo Jianwei Lu AAML CVBM 33 3 0 16 Apr 2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense Jingyuan Wang Yufan Wu Mingxuan Li Xin Lin Junjie Wu Chao Li AAML 62 13 0 14 Apr 2023
Generating Adversarial Attacks in the Latent Space Nitish Shukla Sudipta Banerjee 79 8 0 10 Apr 2023
Hyper-parameter Tuning for Adversarially Robust Models Pedro Mendes Paolo Romano David Garlan AAML 44 2 0 05 Apr 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 63 1 0 05 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim Bohyung Han AAML 87 2 0 04 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning Taehoon Kim Jaeyoo Park Bohyung Han CLL 68 5 0 04 Apr 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 98 32 0 01 Apr 2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage Ruyi Ding Gongye Cheng Siyue Wang A. A. Ding Yunsi Fei AAML 49 6 0 27 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis T. Le Hao Phung Thuan Hoang Nguyen Quan Dao Ngoc N. Tran Anh Tran 109 100 0 27 Mar 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging Alessandro Fontanella Antreas Antoniou Wenwen Li Joanna M. Wardlaw Grant Mair Emanuele Trucco Amos Storkey MedIm 83 11 0 27 Mar 2023
CAT:Collaborative Adversarial Training Xingbin Liu Huafeng Kuang Xianming Lin Yongjian Wu Rongrong Ji AAML 49 4 0 27 Mar 2023
AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking Ruoxi Chen Haibo Jin Jinyin Chen Haibin Zheng AAML 49 0 0 25 Mar 2023
How many dimensions are required to find an adversarial example? Charles Godfrey Henry Kvinge Elise Bishoff Myles Mckay Davis Brown T. Doster E. Byler AAML 82 5 0 24 Mar 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai Hechang Chen AAML MedIm 129 19 0 24 Mar 2023
Optimization and Optimizers for Adversarial Robustness Hengyue Liang Buyun Liang Le Peng Ying Cui Tim Mitchell Ju Sun AAML 69 5 0 23 Mar 2023
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed AAML 168 1 0 23 Mar 2023
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval Xunguang Wang Jiawang Bai Xin-Chao Xu Xuelong Li AAML 65 1 0 22 Mar 2023