Fast Feature Fool: A data independent approach to universal adversarial perturbations

18 July 2017

Papers citing "Fast Feature Fool: A data independent approach to universal adversarial perturbations"

44 / 44 papers shown

Title
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior Chanhui Lee Yeonghwan Song Jeany Son AAML 237 0 0 28 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 74 0 0 08 Feb 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 40 13 0 08 Jun 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Ziqi Zhou Minghui Li Wei Liu Shengshan Hu Yechao Zhang Wei Wan Lulu Xue Leo Yu Zhang Dezhong Yao Hai Jin SILM AAML 55 9 0 16 Mar 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 68 3 0 20 Nov 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 49 21 0 19 Feb 2023
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 14 0 0 28 Oct 2022
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines Wen Su Qingna Li AAML 19 0 0 12 Jun 2022
On Distinctive Properties of Universal Perturbations Sung Min Park K. Wei Kai Y. Xiao Jungshian Li Aleksander Madry AAML 36 2 0 31 Dec 2021
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping B. Ghavami Seyd Movi Zhenman Fang Lesley Shannon AAML 40 9 0 25 Dec 2021
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers Swapnil Parekh Yaman Kumar Singla Somesh Singh Changyou Chen Balaji Krishnamurthy R. Shah AAML 29 3 0 25 Sep 2021
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Mian AAML 32 33 0 20 Jun 2021
Real-time Detection of Practical Universal Adversarial Perturbations Kenneth T. Co Luis Muñoz-González Leslie Kanthan Emil C. Lupu AAML 33 6 0 16 May 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 59 10 0 22 Apr 2021
Universal Adversarial Training with Class-Wise Perturbations Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 27 26 0 07 Apr 2021
On Generating Transferable Targeted Perturbations Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 34 72 0 26 Mar 2021
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification A. Azizi I. A. Tahmid Asim Waheed Neal Mangaokar Jiameng Pu M. Javed Chandan K. Reddy Bimal Viswanath AAML 25 77 0 07 Mar 2021
A Survey On Universal Adversarial Attack Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon AAML 28 90 0 02 Mar 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing Andreas Bär Jonas Löhdefink Nikhil Kapoor Serin Varghese Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 116 33 0 11 Jan 2021
Locally optimal detection of stochastic targeted universal adversarial perturbations Amish Goel P. Moulin AAML 19 2 0 08 Dec 2020
Adversarial Threats to DeepFake Detection: A Practical Perspective Paarth Neekhara Brian Dolhansky Joanna Bitton Cristian Canton Ferrer AAML 13 79 0 19 Nov 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 43 48 0 07 Oct 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 34 26 0 28 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study Fatemeh Vakhshiteh A. Nickabadi Raghavendra Ramachandra AAML 28 16 0 22 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 22 118 0 13 Jul 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 24 251 0 08 Jun 2020
Universal Adversarial Perturbations: A Survey Ashutosh Chaubey Nikhil Agrawal Kavya Barnwal K. K. Guliani Pramod Mehta OOD AAML 42 46 0 16 May 2020
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation Marvin Klingner Andreas Bär Tim Fingscheidt AAML 35 40 0 23 Apr 2020
Single-step Adversarial training with Dropout Scheduling S. VivekB. R. Venkatesh Babu OOD AAML 18 71 0 18 Apr 2020
Adversarial Attacks on Monocular Depth Estimation Ziqi Zhang Xinge Zhu Yingwei Li Xiangqun Chen Yao Guo AAML MDE 30 25 0 23 Mar 2020
Universal adversarial examples in speech command classification Jon Vadillo Roberto Santana AAML 34 29 0 22 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 19 15 0 10 Oct 2019
Cross-Domain Transferability of Adversarial Perturbations Muzammal Naseer Salman H. Khan M. H. Khan Fahad Shahbaz Khan Fatih Porikli AAML 33 145 0 28 May 2019
Label Universal Targeted Attack Naveed Akhtar M. Jalwana Bennamoun Ajmal Mian AAML 22 5 0 27 May 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 23 36 0 10 Mar 2019
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
Distribution Discrepancy Maximization for Image Privacy Preserving Sen Liu Jianxin Lin Zhibo Chen 27 1 0 18 Nov 2018
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions Yusuke Tsuzuku Issei Sato AAML 24 62 0 11 Sep 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 25 22 0 18 Jul 2018
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing Jingyi Wang Jun Sun Peixin Zhang Xinyu Wang AAML 21 41 0 14 May 2018
NAG: Network for Adversary Generation Konda Reddy Mopuri Utkarsh Ojha Utsav Garg R. Venkatesh Babu AAML 27 144 0 09 Dec 2017
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 31 351 0 06 Dec 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 312 3,115 0 04 Nov 2016