v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 162 178 0 07 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 99 21 0 07 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 36 1 0 07 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 100 80 0 06 Oct 2021
Reversible Attack based on Local Visual Adversarial Perturbation Li Chen Shaowei Zhu Z. Yin AAML 40 5 0 06 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 Amit K. Roy-Chowdhury S. Krishnamurthy AAML 193 39 0 05 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 83 13 0 03 Oct 2021
Universal Adversarial Spoofing Attacks against Face Recognition Takuma Amada Seng Pei Liew Kazuya Kakizaki Toshinori Araki PICV CVBM AAML 76 9 0 02 Oct 2021
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers Swapnil Parekh Yaman Kumar Singla Somesh Singh Changyou Chen Balaji Krishnamurthy R. Shah AAML 51 3 0 25 Sep 2021
Dense Contrastive Visual-Linguistic Pretraining Lei Shi Kai Shuang Shijie Geng Peng Gao Zuohui Fu Gerard de Melo Yunpeng Chen Sen Su VLM SSL 127 11 0 24 Sep 2021
Universal Adversarial Attack on Deep Learning Based Prognostics Arghya Basak Pradeep Rathore S. Nistala S. Srinivas Venkataramana Runkana AAML 62 5 0 15 Sep 2021
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models Wonseok Park Nan Liu Qi Alfred Chen Z. Morley Mao AAML 3DPC 55 12 0 13 Sep 2021
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability K. Operiano W. Pora H. Iba Hiroshi Kera AAML 68 1 0 13 Sep 2021
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos Nupur Thakur Baoxin Li AAML 83 2 0 13 Sep 2021
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks Alexander Bastounis A. Hansen Verner Vlacic AAML OOD 105 28 0 13 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 70 25 0 12 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu Basel Alomair Alan Yuille Philip Torr Dacheng Tao VLM AAML 96 108 0 11 Sep 2021
Energy Attack: On Transferring Adversarial Examples Ruoxi Shi Borui Yang Yangzhou Jiang Chenglong Zhao Bingbing Ni AAML 28 2 0 09 Sep 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models Arjun Reddy Akula Keze Wang Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 104 49 0 03 Sep 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang Lingjuan Lyu Weiqiang Wang Lichao Sun Xu Sun 86 36 0 03 Sep 2021
Disrupting Adversarial Transferability in Deep Neural Networks Christopher Wiedeman Ge Wang AAML 96 7 0 27 Aug 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du Bo Chen Tat-Jun Chin Yee Wei Law Michele Sasdelli Ramesh Rajasegaran Dillon Campbell AAML 126 62 0 26 Aug 2021
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference Yang Zheng Xiaoyi Feng Zhaoqiang Xia Xiaoyue Jiang Ambra Demontis Maura Pintor Battista Biggio Fabio Roli AAML 85 22 0 26 Aug 2021
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks N. Mirnateghi Syed Afaq Ali Shah Bennamoun BDL AAML 26 2 0 23 Aug 2021
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness Md. Amirul Islam M. Kowal Konstantinos G. Derpanis Neil D. B. Bruce 56 8 0 23 Aug 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series Zhiyuan Zhang Wei Li Ruihan Bao Keiko Harimoto Hao Sun Xu Sun AI4TS 87 5 0 20 Aug 2021
Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? M. Lennon Nathan G. Drenkow Philippe Burlina AAML 39 8 0 16 Aug 2021
Optical Adversarial Attack Abhiram Gnanasambandam A. Sherman Stanley H. Chan AAML 118 67 0 13 Aug 2021
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks K. Koga Kazuhiro Takemoto AAML 60 12 0 11 Aug 2021
On Procedural Adversarial Noise Attack And Defense Jun Yan Xiaoyang Deng Huilin Yin Wancheng Ge AAML 56 2 0 10 Aug 2021
Imperceptible Adversarial Examples by Spatial Chroma-Shift A. Aydin Deniz Sen Berat Tuna Karli Oguz Hanoglu A. Temi̇zel AAML 49 16 0 05 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 85 45 0 03 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 165 242 0 01 Aug 2021
T $_k$ ML-AP: Adversarial Attacks to Top- $k$ Multi-Label Learning Shu Hu Lipeng Ke Xin Wang Siwei Lyu VLM AAML 94 34 0 31 Jul 2021
Towards Robustness Against Natural Language Word Substitutions Xinshuai Dong Anh Tuan Luu Rongrong Ji Hong Liu SILM AAML 169 115 0 28 Jul 2021
Adversarial Attacks with Time-Scale Representations Alberto Santamaria-Pang Jia-dong Qiu Aritra Chowdhury James R. Kubricht Peter Tu Iyer Naresh Nurali Virani AAML MLAU 50 0 0 26 Jul 2021
Benign Adversarial Attack: Tricking Models for Goodness Jitao Sang Xian Zhao Jiaming Zhang Zhiyu Lin AAML SILM 37 3 0 26 Jul 2021
Compensation Learning Rujing Yao Ou Wu 31 2 0 26 Jul 2021
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks Saikat Majumdar Mohammad Hossein Samavatian Kristin Barber R. Teodorescu AAML 40 7 0 20 Jul 2021
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features Hui Liu Bo Zhao Minzhi Ji Yuefeng Peng Jiabao Guo Peng Liu AAML 63 2 0 19 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 212 0 12 Jul 2021
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations Mohammad Nayeem Teli Se-Ryeong Oh AAML 43 2 0 10 Jul 2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems Shangyu Xie Han Wang Yu Kong Yuan Hong AAML 63 27 0 09 Jul 2021
Towards Robust General Medical Image Segmentation Laura Alexandra Daza Juan C. Pérez Pablo Arbelaez OOD 78 27 0 09 Jul 2021
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models Daniel Park Haidar Khan Azer Khan Alex Gittens B. Yener AAML 35 1 0 08 Jul 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 99 14 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 79 39 0 05 Jul 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 44 29 0 30 Jun 2021
ImageNet Pre-training also Transfers Non-Robustness Jiaming Zhang Jitao Sang Qiaomin Yi Yunfan Yang Huiwen Dong Jian Yu 63 3 0 21 Jun 2021
Generative Model Adversarial Training for Deep Compressed Sensing Ashkan Esmaeili GAN 49 0 0 20 Jun 2021