Generative Adversarial Perturbations

6 December 2017

Papers citing "Generative Adversarial Perturbations"

50 / 202 papers shown

Title
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations Shivangi Aneja Lev Markhasin Matthias Niessner AAML DiffM PICV 19 21 0 16 Dec 2021
Stereoscopic Universal Perturbations across Different Architectures and Datasets Z. Berger Parth T. Agrawal Tianlin Liu Stefano Soatto A. Wong AAML 21 19 0 12 Dec 2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method Tao Bai Jun Zhao Jinlin Zhu Shoudong Han Jiefeng Chen Bo-wen Li Alex C. Kot AAML 26 4 0 19 Nov 2021
Generative Dynamic Patch Attack Xiang Li Shihao Ji AAML 22 22 0 08 Nov 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance Grace Deng Cuize Han T. Dreossi Clarence Lee David S. Matteson AI4TS 23 8 0 14 Oct 2021
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness Xiao Yang Yinpeng Dong Wenzhao Xiang Tianyu Pang Hang Su Jun Zhu AAML 11 4 0 13 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools Stephen Casper Max Nadeau Dylan Hadfield-Menell Gabriel Kreiman AAML 42 27 0 07 Oct 2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations Shasha Li Abhishek Aich Shitong Zhu M. Salman Asif Chengyu Song A. Roy-Chowdhury S. Krishnamurthy AAML 122 37 0 05 Oct 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay R. Kumar 97 53 0 25 Sep 2021
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks K. Koga Kazuhiro Takemoto AAML 22 11 0 11 Aug 2021
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples Ismail R. Alkhouri Alvaro Velasquez George K. Atia AAML GAN 16 1 0 05 Aug 2021
Adversarial Attacks with Time-Scale Representations A. Santamaría-Pang Jia-dong Qiu Aritra Chowdhury James R. Kubricht Peter Tu Iyer Naresh Nurali Virani AAML MLAU 25 0 0 26 Jul 2021
Benign Adversarial Attack: Tricking Models for Goodness Jitao Sang Xian Zhao Jiaming Zhang Zhiyu Lin AAML SILM 22 2 0 26 Jul 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 33 11 0 05 Jul 2021
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 36 38 0 05 Jul 2021
ImageNet Pre-training also Transfers Non-Robustness Jiaming Zhang Jitao Sang Qiaomin Yi Yunfan Yang Huiwen Dong Jian Yu 45 1 0 21 Jun 2021
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Saeed Mian AAML 24 33 0 20 Jun 2021
On Improving Adversarial Transferability of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan F. Khan Fatih Porikli ViT 31 93 0 08 Jun 2021
Dominant Patterns: Critical Features Hidden in Deep Neural Networks Zhixing Ye S. Qin Sizhe Chen Xiaolin Huang AAML 22 2 0 31 May 2021
Transferable Sparse Adversarial Attack Ziwen He Wei Wang Jing Dong T. Tan AAML 11 20 0 31 May 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 8 21 0 30 May 2021
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang Zheng-Wei Zhang Baoyuan Wu Fumin Shen Guangming Lu AAML GAN 6 43 0 17 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 44 10 0 22 Apr 2021
Universal Spectral Adversarial Attacks for Deformable Shapes Arianna Rampini Franco Pestarini Luca Cosmo Simone Melzi Emanuele Rodolà AAML 20 18 0 07 Apr 2021
Universal Adversarial Training with Class-Wise Perturbations Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 15 26 0 07 Apr 2021
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses Yao Deng Tiehua Zhang Guannan Lou Xi Zheng Jiong Jin Qing-Long Han AAML 27 98 0 05 Apr 2021
Semantically Stealthy Adversarial Attacks against Segmentation Models Zhenhua Chen Chuhua Wang David J. Crandall AAML 13 10 0 05 Apr 2021
On Generating Transferable Targeted Perturbations Muzammal Naseer Salman Khan Munawar Hayat F. Khan Fatih Porikli AAML 21 72 0 26 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 25 41 0 05 Mar 2021
A Survey On Universal Adversarial Attack Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon AAML 23 90 0 02 Mar 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective Chaoning Zhang Philipp Benz Adil Karjauv In So Kweon AAML 31 42 0 12 Feb 2021
Adversarial Imaging Pipelines Buu Phan Fahim Mannan Felix Heide AAML 14 26 0 07 Feb 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee Changhwa Park Hyungyu Lee Jihun Yi Jonghyun Lee Sungroh Yoon OODD 11 24 0 17 Jan 2021
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers K. K. Nakka Mathieu Salzmann AAML 6 5 0 30 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 24 121 0 21 Dec 2020
Towards Imperceptible Universal Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 11 1 0 24 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 10 281 0 24 Nov 2020
Multi-Task Adversarial Attack Pengxin Guo Yuancheng Xu Baijiong Lin Yu Zhang AAML 23 8 0 19 Nov 2020
Data Augmentation via Structured Adversarial Perturbations Calvin Luo H. Mobahi Samy Bengio AAML 11 5 0 05 Nov 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 17 17 0 28 Oct 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack Xiaoyi Dong Dongdong Chen Jianmin Bao Chuan Qin Lu Yuan Weiming Zhang Nenghai Yu Dong Chen AAML 8 63 0 26 Oct 2020
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations Yanghao Zhang Wenjie Ruan Fu Lee Wang Xiaowei Huang AAML 10 24 0 15 Oct 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation Chaoning Zhang Philipp Benz Tooba Imtiaz In So Kweon AAML 19 61 0 07 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 35 48 0 07 Oct 2020
A Study for Universal Adversarial Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 14 2 0 04 Oct 2020
Humans learn too: Better Human-AI Interaction using Optimized Human Inputs Johannes Schneider 6 4 0 19 Sep 2020
Online Alternate Generator against Adversarial Attacks Haofeng Li Yirui Zeng Guanbin Li Liang Lin Yizhou Yu AAML 17 6 0 17 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 21 13 0 15 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 25 73 0 07 Aug 2020