v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top- $k$ Multi-Label Learning Yuchen Sun Qianqian Xu Zitai Wang Qingming Huang AAML 107 1 0 27 Jul 2023
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks Buse G. A. Tekgul Nadarajah Asokan AAML 53 2 0 27 Jul 2023
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning Heng Zhang Danilo Vasconcellos Vargas AI4CE 68 22 0 27 Jul 2023
Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations Yi Han Matthew Chan Eric Wengrowski Zhuo Li Nils Ole Tippenhauer Mani B. Srivastava S. Zonouz L. Garcia AAML 48 1 0 24 Jul 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks Mingwen Shao Lingzhuang Meng Yuanjian Qiao Lixu Zhang W. Zuo DiffM 94 1 0 24 Jul 2023
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks Naman Maheshwari Nicholas Malaya Scott A. Moe J. Kulkarni S. Gurumurthi AAML 30 0 0 24 Jul 2023
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation Neel Bhandari Pin-Yu Chen AAML SILM 84 3 0 24 Jul 2023
Downstream-agnostic Adversarial Examples Ziqi Zhou Shengshan Hu Rui-Qing Zhao Qian Wang L. Zhang Junhui Hou Hai Jin SILM AAML 88 25 0 23 Jul 2023
Adversarial Attacks on Traffic Sign Recognition: A Survey Svetlana Pavlitska Nico Lambing J. Marius Zöllner AAML 88 18 0 17 Jul 2023
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad George K. Thiruvathukal Hyoungshick Kim Tamer Abuhmed AAML 50 2 0 12 Jul 2023
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 73 14 0 11 Jul 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations Hassan Ali Adnan Qayyum Ala I. Al-Fuqaha Junaid Qadir AAML 105 3 0 11 Jul 2023
Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version) Mahum Naseer Osman Hasan Mohamed Bennai 36 2 0 29 Jun 2023
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes Hao Sun Lei Hsiung Nandhini Chandramoorthy Pin-Yu Chen Tsung-Yi Ho AAML 88 0 0 29 Jun 2023
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack Jie Ning Jiebao Sun Yao Li Zhichang Guo Wangmeng Zuo 69 6 0 28 Jun 2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models Xinzhe Li Ming Liu Shang Gao Wray Buntine 74 20 0 27 Jun 2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection Songyang Gao Shihan Dou Qi Zhang Xuanjing Huang Jin Ma Yingchun Shan AAML 63 3 0 27 Jun 2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security Harriet Farlow Matthew A. Garratt G. Mount T. Lynar AAML 62 0 0 26 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 126 12 0 21 Jun 2023
Universal adversarial perturbations for multiple classification tasks with quantum classifiers Yun-Zhong Qiu AAML 72 1 0 21 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 229 115 0 16 Jun 2023
OVLA: Neural Network Ownership Verification using Latent Watermarks Feisi Fu Wenchao Li AAML 131 1 0 15 Jun 2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios Ziqiang Li Hong Sun Pengfei Xia Heng Li Beihao Xia Yi Wu Bin Li AAML 101 10 0 14 Jun 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Ziqiang Li Hong Sun Pengfei Xia Beihao Xia Xue Rui Wei Zhang Qinglang Guo Bin Li AAML 134 8 0 14 Jun 2023
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems Michele Panariello W. Ge Hemlata Tak Massimiliano Todisco Nicholas W. D. Evans AAML 62 14 0 13 Jun 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions D. Thaker Paris V. Giampouras René Vidal AAML 59 0 0 07 Jun 2023
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts Kaijie Zhu Jindong Wang Jiaheng Zhou Zichen Wang Hao Chen ... Linyi Yang Weirong Ye Yue Zhang Neil Zhenqiang Gong Xingxu Xie SILM 135 144 0 07 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 47 1 0 07 Jun 2023
UMD: Unsupervised Model Detection for X2X Backdoor Attacks Zhen Xiang Zidi Xiong Yue Liu AAML 92 20 0 29 May 2023
NaturalFinger: Generating Natural Fingerprint with Generative Adversarial Networks Kan Yang Kunhao Lai AAML 78 0 0 29 May 2023
DeepSeaNet: Improving Underwater Object Detection using EfficientDet Sanyam Jain AAML 55 14 0 26 May 2023
A Guide Through the Zoo of Biased SGD Yury Demidovich Grigory Malinovsky Igor Sokolov Peter Richtárik 102 28 0 25 May 2023
Adversarial Demonstration Attacks on Large Language Models Jiong Wang Zi-yang Liu Keun Hee Park Zhuojun Jiang Zhaoheng Zheng Zhuofeng Wu Muhao Chen Chaowei Xiao SILM 112 56 0 24 May 2023
Impact of Light and Shadow on Robustness of Deep Neural Networks Chen-Hao Hu Weiwen Shi Chaoxian Li Jialiang Sun Donghua Wang Jun Wu Guijian Tang AAML 59 2 0 23 May 2023
Adversarial Defenses via Vector Quantization Zhiyi Dong Yongyi Mao AAML 53 1 0 23 May 2023
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors Pia Hanfeld Marina M.-C. Höhne Michael Bussmann Wolfgang Hönig AAML 56 1 0 22 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
Inter-frame Accelerate Attack against Video Interpolation Models Junpei Liao Zhikai Chen Liang Yi Wenyuan Yang Baoyuan Wu Xiaochun Cao AAML 95 1 0 11 May 2023
SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection Xiaoshuai Wu Xin Liao Bo Ou 96 39 0 10 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
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks Nils Lukas Florian Kerschbaum 95 1 0 07 May 2023
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation Yan Wang Jian Cheng Yixin Chen Shuai Shao Lanyun Zhu Zhenzhou Wu Tianming Liu Haogang Zhu OOD MedIm 126 26 0 26 Apr 2023
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization Anh-Vu Bui Trung Le He Zhao Quan Hung Tran Paul Montague Dinh Q. Phung AAML 64 0 0 26 Apr 2023
Evaluating Adversarial Robustness on Document Image Classification Timothée Fronteau Arnaud Paran A. Shabou AAML 85 3 0 24 Apr 2023
SketchXAI: A First Look at Explainability for Human Sketches Zhiyu Qu Yulia Gryaditskaya Ke Li Kaiyue Pang Tao Xiang Yi-Zhe Song 86 8 0 23 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 92 11 0 22 Apr 2023
RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu 95 25 0 13 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 79 3 0 10 Apr 2023
AI Model Disgorgement: Methods and Choices Alessandro Achille Michael Kearns Carson Klingenberg Stefano Soatto MU 98 13 0 07 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawé Marianne Abémgnigni Njifon Jonathan Heek Yann N. Dauphin OOD 42 5 0 06 Apr 2023