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Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers

17 April 2019

Papers citing "Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers"

50 / 72 papers shown

Title
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems Zhongliang Guo Shuai Zhao Yanli Li Weiye Li Chun Tong Lei Shuai Zhao Lei Fang Ognjen Arandjelović Chun Pong Lau AAML 206 2 0 03 Aug 2025
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models Ying Yang Jie Zhang Xiao Lv Di Lin Tao Xiang Qing Guo AAML VLM 159 1 0 30 May 2025
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation Wenyuan Wu Zheng Liu Yong Chen Chao Su Dezhong Peng Xu Wang AAML 499 1 0 24 Feb 2025
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception Yuanhao Huang Qinfan Zhang Jiandong Xing Mengyue Cheng Haiyang Yu Yilong Ren Xiao Xiong AAML 265 3 0 12 Feb 2025
Unsupervised Model Diagnosis Yinong Wang Eileen Li Jinqi Luo Zhaoning Wang Fernando de la Torre AAML 291 4 0 08 Oct 2024
Linking in Style: Understanding learned features in deep learning modelsEuropean Conference on Computer Vision (ECCV), 2024 Maren H. Wehrheim Pamela Osuna-Vargas Matthias Kaschube GAN 184 0 0 25 Sep 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex Spandan Madan Will Xiao Mingran Cao Hanspeter Pfister Margaret Livingstone Gabriel Kreiman OOD 204 4 0 16 Jun 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 210 1 0 29 Mar 2024
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning Hsin-Jung Yang Joe Beck Md Zahid Hasan Ekin Beyazit Subhadeep Chakraborty Tichakorn Wongpiromsarn Soumik Sarkar 144 1 0 27 Mar 2024
Mitigating the Impact of Attribute Editing on Face Recognition Sudipta Banerjee Sai Pranaswi Mullangi Shruti Wagle Chinmay Hegde Nasir Memon CVBM 268 1 0 12 Mar 2024
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks Zhiying Jiang Xingyuan Li Jinyuan Liu Xin-Yue Fan Risheng Liu AAML 166 13 0 25 Feb 2024
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Yaoyao Liu Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 219 11 0 27 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 321 0 0 15 Nov 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks Ofir Bar Tal Adi Haviv Amit H. Bermano AAML 159 0 0 05 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial AttacksACM Computing Surveys (ACM Comput. Surv.), 2023 Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 240 34 0 01 Oct 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation Krishna Kanth Nakka Mathieu Salzmann DRL CoGe 207 2 0 20 Sep 2023
Semantic Adversarial Attacks via Diffusion ModelsBritish Machine Vision Conference (BMVC), 2023 Chenan Wang Jinhao Duan Chaowei Xiao Edward Kim Matthew C. Stamm Kaidi Xu DiffM 162 16 0 14 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D DetectorsIEEE International Conference on Computer Vision (ICCV), 2023 Hongge Chen Zhao Chen Gregory P. Meyer Dennis Park Carl Vondrick Ashish Shrivastava Yuning Chai 3DPC 168 3 0 11 Sep 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized SmoothingEuropean Conference on Artificial Intelligence (ECAI), 2023 Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 214 0 0 17 Aug 2023
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity EvaluationPattern Recognition (Pattern Recogn.), 2023 Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 172 12 0 12 May 2023
LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics Shervin Ardeshir 151 0 0 04 May 2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial AttackIEEE International Joint Conference on Neural Network (IJCNN), 2023 Dashan Gao Yunce Zhao Yinghua Yao Zeqi Zhang Bifei Mao Xin Yao AAML 120 1 0 08 Apr 2023
Zero-shot Model DiagnosisComputer Vision and Pattern Recognition (CVPR), 2023 Jinqi Luo Zhaoning Wang Chen Henry Wu Dong Huang Fernando de la Torre VLM 175 29 0 27 Mar 2023
Semantic Image Attack for Visual Model Diagnosis Jinqi Luo Zhaoning Wang Chenhuan Wu Dong Huang Fernando de la Torre AAML 180 1 0 23 Mar 2023
Testing the Channels of Convolutional Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023 Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 149 1 0 06 Mar 2023
Semantic Adversarial Attacks on Face Recognition through Significant AttributesInternational Journal of Computational Intelligence Systems (IJCIS), 2023 Yasmeen M. Khedr Yifeng Xiong Kun He AAML 261 2 0 28 Jan 2023
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaohan Li Hengshuang Zhao Juil Sock Jiaya Jia AAML 159 6 0 11 Dec 2022
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks Stephen Casper K. Hariharan Dylan Hadfield-Menell AAML 386 11 0 18 Nov 2022
Assessing Neural Network Robustness via Adversarial Pivotal TuningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Peter Ebert Christensen Vésteinn Snaebjarnarson Andrea Dittadi Serge Belongie Sagie Benaim AAML 195 1 0 17 Nov 2022
Face Pasting Attack Niklas Bunzel L. Graner AAML CVBM 136 0 0 17 Oct 2022
Automatic Data Augmentation via Invariance-Constrained LearningInternational Conference on Machine Learning (ICML), 2022 Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 310 17 0 29 Sep 2022
Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid ResamplingInternational Symposium on Circuits and Systems (ISCAS), 2022 Andreas Spruck Viktoria Heimann Andre Kaup 95 1 0 28 Sep 2022
Boosting Robustness Verification of Semantic Feature NeighborhoodsSensors Applications Symposium (SAS), 2022 Anan Kabaha Dana Drachsler-Cohen AAML 233 7 0 12 Sep 2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution Ming-Kuai Zhou Xiaobing Pei AAML 130 0 0 31 Aug 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers Sangwoong Yoon Jinwon Choi Yonghyeon Lee Yung-Kyun Noh Frank C. Park OODD 155 3 0 20 Aug 2022
Improving generalization by mimicking the human visual diet Spandan Madan You Li Mengmi Zhang Hanspeter Pfister Gabriel Kreiman 163 2 0 15 Jun 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning ModelsInternational Conference on Learning Representations (ICLR), 2022 Spyridon Mouselinos Henryk Michalewski Mateusz Malinowski 254 4 0 24 Feb 2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition Juan C. Pérez Motasem Alfarra Ali K. Thabet Pablo Arbelaez Guohao Li AAML 229 2 0 10 Feb 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic PerturbationsComputer Vision and Pattern Recognition (CVPR), 2022 Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 169 42 0 09 Feb 2022
ALA: Naturalness-aware Adversarial Lightness AttackACM Multimedia (ACM MM), 2022 Yihao Huang Liangru Sun Qing Guo Felix Juefei Xu Jiayi Zhu Jincao Feng Yang Liu G. Pu AAML 379 17 0 16 Jan 2022
Adaptive Perturbation for Adversarial AttackIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 257 15 0 27 Nov 2021
Enhanced countering adversarial attacks via input denoising and feature restoring Yanni Li Wenhui Zhang Jiawei Liu Xiaoli Kou Hui Li Jiangtao Cui AAML 145 3 0 19 Nov 2021
Adversarial Token Attacks on Vision Transformers Ameya Joshi Gauri Jagatap Chinmay Hegde ViT 173 22 0 08 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools Stephen Casper Max Nadeau Dylan Hadfield-Menell Gabriel Kreiman AAML 686 32 0 07 Oct 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021 Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan Oseledets AAML 157 22 0 22 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 467 298 0 01 Aug 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 127 0 0 26 Jul 2021
Distributionally Robust Policy Learning via Adversarial Environment Generation Allen Z. Ren Anirudha Majumdar OOD 565 17 0 13 Jul 2021
Exposing Previously Undetectable Faults in Deep Neural NetworksInternational Symposium on Software Testing and Analysis (ISSTA), 2021 Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 200 30 0 01 Jun 2021
Semantically Stealthy Adversarial Attacks against Segmentation ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Zhenhua Chen Chuhua Wang David J. Crandall AAML 228 14 0 05 Apr 2021