Semantic Adversarial Examples

16 March 2018

Papers citing "Semantic Adversarial Examples"

34 / 34 papers shown

Title
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models Isha Gupta David Khachaturov Robert D. Mullins AAML AuLLM 60 1 0 02 Feb 2025
Natural Language Induced Adversarial Images Xiaopei Zhu Peiyang Xu Guanning Zeng Yingpeng Dong Xiaolin Hu AAML 28 0 0 11 Oct 2024
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack Zihao Pan Weibin Wu Yuhang Cao Zibin Zheng DiffM AAML 60 1 0 03 Oct 2024
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 39 2 0 03 Jan 2023
Addressing Mistake Severity in Neural Networks with Semantic Knowledge Natalie Abreu Nathan Vaska Victoria Helus AAML OOD 16 3 0 21 Nov 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning Peter Ebert Christensen Vésteinn Snaebjarnarson Andrea Dittadi Serge J. Belongie Sagie Benaim AAML 23 1 0 17 Nov 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks Shengming Yuan Qilong Zhang Lianli Gao Yaya Cheng Jingkuan Song AAML 22 42 0 05 Oct 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 30 3 0 19 Sep 2022
Boosting Robustness Verification of Semantic Feature Neighborhoods Anan Kabaha Dana Drachsler-Cohen AAML 29 6 0 12 Sep 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries Dongbin Na Sangwoo Ji Jong Kim AAML 27 17 0 24 Aug 2022
CARBEN: Composite Adversarial Robustness Benchmark Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 10 9 0 16 Jul 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 15 1 0 31 May 2022
Hierarchical Distribution-Aware Testing of Deep Learning Wei Huang Xingyu Zhao Alec Banks V. Cox Xiaowei Huang OOD AAML 28 10 0 17 May 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 33 8 0 02 Apr 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 19 24 0 16 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 18 9 0 02 Mar 2022
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan V. Oseledets AAML 44 15 0 22 Sep 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 11 89 0 20 Aug 2021
Imperceptible Adversarial Examples by Spatial Chroma-Shift A. Aydin Deniz Sen Berat Tuna Karli Oguz Hanoglu A. Temi̇zel AAML 18 16 0 05 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 23 28 0 01 Jun 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink Ranjie Duan Xiaofeng Mao •. A. K. Qin Yun Yang YueFeng Chen Shaokai Ye Yuan He AAML 11 137 0 11 Mar 2021
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks Jayendra Kantipudi S. Dubey Soumendu Chakraborty AAML 34 19 0 20 Dec 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 11 2 0 12 Jun 2020
Towards Feature Space Adversarial Attack Qiuling Xu Guanhong Tao Shuyang Cheng X. Zhang GAN AAML 25 25 0 26 Apr 2020
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates Amin Ghiasi Ali Shafahi Tom Goldstein 23 55 0 19 Mar 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 23 12 0 06 Jan 2020
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 50 1,417 0 16 Jul 2019
Bypassing Backdoor Detection Algorithms in Deep Learning T. Tan Reza Shokri FedML AAML 22 149 0 31 May 2019
Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets Riccardo Volpi Vittorio Murino 31 29 0 28 Mar 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 40 1,649 0 13 Feb 2019
Artificial Color Constancy via GoogLeNet with Angular Loss Function Oleksii Sidorov 13 20 0 20 Nov 2018
Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training Derui Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 30 29 0 14 Mar 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016