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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection Yihang Tao Senkang Hu Yue Hu Haonan An Hangcheng Cao Yuguang Fang AAML 119 1 0 05 Jan 2025
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50 Umesh Yadav Suman Niraula Gaurav Kumar Gupta Bicky Yadav SILM 179 0 0 04 Jan 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen Haijing Guo Kaixun Jiang Jiyuan Fu Xinyu Zhou Dingkang Yang Hao Tang Yue Liu Wenqiang Zhang AAML 69 0 0 03 Jan 2025
Region-Guided Attack on the Segment Anything Model (SAM) Xiaoliang Liu Furao Shen Jian Zhao AAML 163 0 0 03 Jan 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge Belongie Christian Igel 138 1 0 03 Jan 2025
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks Teng Li Xingjun Ma Yu-Gang Jiang AAML DiffM 135 0 0 03 Jan 2025
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search Zhaohui Wang Min Zhang Jingran Yang Bojie Shao Min Zhang 80 5 0 31 Dec 2024
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 160 1 0 31 Dec 2024
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Hui Zeng Sanshuai Cui Biwei Chen Anjie Peng AAML 121 0 0 31 Dec 2024
Attribution for Enhanced Explanation with Transferable Adversarial eXploration Zhiyu Zhu Jiayu Zhang Zhibo Jin Huaming Chen Jianlong Zhou Fang Chen AAML ViT 88 0 0 27 Dec 2024
Central limit theorems for vector-valued composite functionals with smoothing and applications Huhui Chen Darinka Dentcheva Yang Lin Gregory J. Stock 109 0 0 26 Dec 2024
AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Tommy Nguyen Mehmet Ergezer Christian Green 136 0 0 18 Dec 2024
Targeted View-Invariant Adversarial Perturbations for 3D Object Recognition Christian Green Mehmet Ergezer Abdurrahman Zeybey AAML 108 0 0 17 Dec 2024
Adversarially robust generalization theory via Jacobian regularization for deep neural networks Dongya Wu Xin Li AAML 107 0 0 17 Dec 2024
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation Svetlana Pavlitska Enrico Eisen J. Marius Zöllner AAML UQCV MoE 176 1 0 16 Dec 2024
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 203 1 0 16 Dec 2024
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages Poulami Ghosh Raj Dabre Pushpak Bhattacharyya AAML 120 0 0 14 Dec 2024
Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 121 0 0 09 Dec 2024
Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Zijiao Yang Xiangxi Shi Eric Slyman Stefan Lee AAML 115 1 0 03 Dec 2024
Sustainable Self-evolution Adversarial Training Wenxuan Wang Chenglei Wang Huihui Qi Menghao Ye Xuelin Qian Peng Wang Yanning Zhang AAML 137 0 0 03 Dec 2024
The Evolution and Future Perspectives of Artificial Intelligence Generated Content Chengzhang Zhu Luobin Cui Ying Tang Jiacun Wang 161 1 0 02 Dec 2024
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Models Zhixiang Wang Guangnan Ye Xinyu Wang Siheng Chen Ziyi Wang Xingjun Ma Yu-Gang Jiang AAML DiffM 199 0 0 02 Dec 2024
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence Qianren Mao Weifeng Jiang Qingbin Liu Chenghua Lin Qian Li Xianqing Wen Jianxin Li Jinhu Lu 108 0 0 01 Dec 2024
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation Tian Ye Rajgopal Kannan Viktor Prasanna AAML 88 0 0 27 Nov 2024
RED: Robust Environmental Design Jinghan Yan AAML 100 0 0 26 Nov 2024
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Zhen Sun Tianshuo Cong Yule Liu Chenhao Lin Xinlei He Rongmao Chen Xingshuo Han Xinyi Huang AAML 172 6 0 26 Nov 2024
A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Yi Ran Zhichang Guo Jia Li Yao Li Martin Burger Boying Wu DiffM 103 0 0 24 Nov 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 525 0 0 23 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 170 1 0 20 Nov 2024
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods Egor Kovalev Georgii Bychkov Khaled Abud A. Gushchin Anna Chistyakova Sergey Lavrushkin D. Vatolin Anastasia Antsiferova AAML 175 2 0 18 Nov 2024
Face De-identification: State-of-the-art Methods and Comparative Studies Jingyi Cao Xiangyi Chen Bo Liu Ming Ding Rong Xie Li Song Zhu Li Wenjun Zhang PICV 91 2 0 15 Nov 2024
Transferable Adversarial Attacks against ASR Xiaoxue Gao Zexin Li Yiming Chen Cong Liu Haoyang Li AAML 57 1 0 14 Nov 2024
Adversarial Detection with a Dynamically Stable System Xiaowei Long Jie Lin Xiangyuan Yang AAML 74 0 0 11 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 105 11 0 03 Nov 2024
A Coverage-Guided Testing Framework for Quantum Neural Networks Minqi Shao Jianjun Zhao AAML 108 1 0 03 Nov 2024
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding Ehsan Ganjidoost Jeff Orchard AAML 47 0 0 31 Oct 2024
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks Zhengbo Zhou Degan Hao Dooman Arefan M. Zuley J. Sumkin Shandong Wu AAML 110 0 0 29 Oct 2024
Deep Learning Based Dense Retrieval: A Comparative Study Ming Zhong Zhizhi Wu Nanako Honda AAML 24 0 0 27 Oct 2024
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions Poojitha Thota Shirin Nilizadeh 69 2 0 26 Oct 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 121 6 0 26 Oct 2024
Detecting Adversarial Examples Furkan Mumcu Yasin Yilmaz AAML 60 2 0 22 Oct 2024
SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation Chen-Hsiu Huang Ja-Ling Wu 45 1 0 19 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 84 1 0 19 Oct 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li Kemou Li Haiwei Wu Jinyu Tian Jiantao Zhou AAML 101 1 0 16 Oct 2024
Investigation of Speaker Representation for Target-Speaker Speech Processing Takanori Ashihara Takafumi Moriya Shota Horiguchi Junyi Peng Tsubasa Ochiai Marc Delcroix Kohei Matsuura Hiroshi Sato 66 1 0 15 Oct 2024
Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models Zhongye Liu Hongbin Liu Yuepeng Hu Zedian Shao Neil Zhenqiang Gong VLM MLLM 51 0 0 15 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors Tao Lin Lijia Yu Gaojie Jin Renjue Li Peng Wu Lijun Zhang AAML 105 1 0 14 Oct 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation Ye Sun Hao Zhang Tiehua Zhang Xingjun Ma Yu-Gang Jiang VLM 87 4 0 13 Oct 2024
Robust 3D Point Clouds Classification based on Declarative Defenders Kaidong Li Tianxiao Zhang Cuncong Zhong Zizhuo Zhang G. Wang 3DPC 74 1 0 13 Oct 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu Xuzhao Li 381 0 0 13 Oct 2024