v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 162 37 0 26 May 2022
OPOM: Customized Invisible Cloak towards Face Privacy Protection Yaoyao Zhong Weihong Deng PICV 80 34 0 24 May 2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks Sen Pei Jiaxi Sun Xiaopeng Zhang Gaofeng Meng AAML 65 0 0 21 May 2022
On Trace of PGD-Like Adversarial Attacks Mo Zhou Vishal M. Patel AAML 75 4 0 19 May 2022
Verifying Neural Networks Against Backdoor Attacks Long H. Pham Jun Sun AAML 66 5 0 14 May 2022
A Study of the Attention Abnormality in Trojaned BERTs Weimin Lyu Songzhu Zheng Teng Ma Chao Chen 86 59 0 13 May 2022
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis L. Tidjon Foutse Khomh 41 8 0 12 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 89 7 0 05 May 2022
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 60 29 0 30 Apr 2022
GRIT: General Robust Image Task Benchmark Tanmay Gupta Ryan Marten Aniruddha Kembhavi Derek Hoiem VLM OOD ObjD 75 33 0 28 Apr 2022
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame Youngjoon Yu Hong Joo Lee Hakmin Lee Yong Man Ro AAML 44 11 0 27 Apr 2022
Restricted Black-box Adversarial Attack Against DeepFake Face Swapping Junhao Dong Yuan Wang Jianhuang Lai Xiaohua Xie PICV AAML 67 49 0 26 Apr 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 46 5 0 25 Apr 2022
Riemannian Hamiltonian methods for min-max optimization on manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 94 17 0 25 Apr 2022
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV Anum Talpur M. Gurusamy AAML 113 0 0 23 Apr 2022
GUARD: Graph Universal Adversarial Defense Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang AAML 76 8 0 20 Apr 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 79 5 0 20 Apr 2022
Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks Kenneth T. Co David Martínez-Rego Zhongyuan Hau Emil C. Lupu AAML 36 5 0 19 Apr 2022
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge Qun Song Zhenyu Yan W. Luo Rui Tan AAML 44 2 0 18 Apr 2022
Residue-Based Natural Language Adversarial Attack Detection Vyas Raina Mark Gales AAML 72 12 0 17 Apr 2022
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks Xinqiao Zhang Huili Chen Ke Huang F. Koushanfar AAML 76 1 0 08 Apr 2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings Yuhao Mao Chong Fu Sai-gang Wang S. Ji Xuhong Zhang Zhenguang Liu Junfeng Zhou A. Liu R. Beyah Ting Wang AAML 105 19 0 07 Apr 2022
Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines Wen Su Qingna Li Chunfeng Cui AAML 48 1 0 07 Apr 2022
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks Xuechun Han Anmin Liu Yifeng Xiong Yanbo Fan Kun He AAML 79 5 0 06 Apr 2022
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery M. Rakesh Jogendra Nath Kundu Varun Jampani R. Venkatesh Babu 3DH 62 10 0 04 Apr 2022
Adversarially robust segmentation models learn perceptually-aligned gradients Pedro Sandoval-Segura 26 0 0 03 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 93 9 0 02 Apr 2022
Investigating Top- $k$ White-Box and Transferable Black-box Attack Chaoning Zhang Philipp Benz Adil Karjauv Jae-Won Cho Kang Zhang In So Kweon 85 43 0 30 Mar 2022
Origins of Low-dimensional Adversarial Perturbations Elvis Dohmatob Chuan Guo Morgane Goibert AAML 74 4 0 25 Mar 2022
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning Arezoo Rajabi Bhaskar Ramasubramanian Radha Poovendran AAML 112 5 0 25 Mar 2022
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow Jenny Schmalfuss Philipp Scholze Andrés Bruhn AAML 81 19 0 24 Mar 2022
On Adversarial Robustness of Large-scale Audio Visual Learning Juncheng Billy Li Shuhui Qu Xinjian Li Po-Yao (Bernie) Huang Florian Metze AAML 47 7 0 23 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 141 25 0 16 Mar 2022
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis Giulio Rossolini F. Nesti Fabio Brau Alessandro Biondi Giorgio Buttazzo AAML 61 10 0 14 Mar 2022
Efficient universal shuffle attack for visual object tracking Siao Liu Zhaoyu Chen Wei Li Jiwei Zhu Jiafeng Wang Wenqiang Zhang Zhongxue Gan AAML 59 34 0 14 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 107 1 0 04 Mar 2022
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking Changhong Fu Sihang Li Xinnan Yuan Junjie Ye Ziang Cao Fangqiang Ding AAML 83 20 0 03 Mar 2022
Detecting Adversarial Perturbations in Multi-Task Perception Marvin Klingner V. Kumar S. Yogamani Andreas Bär Tim Fingscheidt AAML 74 15 0 02 Mar 2022
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training Jiazhu Dai Siwei Xiong AAML 48 2 0 28 Feb 2022
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration Ryan Soklaski Michael Yee Theodoros Tsiligkaridis AAML 128 16 0 24 Feb 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models Spyridon Mouselinos Henryk Michalewski Mateusz Malinowski 69 3 0 24 Feb 2022
Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace Pengyuan Zhou Benjamin Finley Lik-Hang Lee Yong Liao Haiyong Xie Pan Hui 31 0 0 22 Feb 2022
Universal adversarial perturbation for remote sensing images Qingyu Wang Jin Tang Z. Yin Bin Luo AAML 57 5 0 22 Feb 2022
A Tutorial on Adversarial Learning Attacks and Countermeasures Cato Pauling Michael Gimson Muhammed Qaid Ahmad Kida Basel Halak AAML 90 11 0 21 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 92 37 0 21 Feb 2022
Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks R. Sandler Peter K. Relich Cloud Cho Sean Holloway AAML 36 5 0 20 Feb 2022
Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies Christopher Wise Jo Plested AAML 65 7 0 17 Feb 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 117 68 0 17 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 72 7 0 15 Feb 2022
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks Q. Hu Daizong Liu Wei Hu AAML 3DPC 151 23 0 15 Feb 2022