Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks

15 January 2018

Papers citing "Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks"

50 / 63 papers shown

Title
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 35 0 0 15 Apr 2025
Towards Assessing Deep Learning Test Input Generators Seif Mzoughi Ahmed Hajyahmed Mohamed Elshafei Foutse Khomh anb Diego Elias Costa D. Costa AAML 40 0 0 03 Apr 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 69 0 0 12 Mar 2025
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models Namhyuk Ahn Kiyoon Yoo Wonhyuk Ahn Daesik Kim Seung-Hun Nam AAML WIGM DiffM 94 0 0 16 Dec 2024
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks Jin Li Zitong Yu Ziqiang He Zhong Wang Xiangui Kang AAML 84 0 0 15 Dec 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis Zhipeng He Chun Ouyang Laith Alzubaidi Alistair Barros Catarina Moreira AAML 39 0 0 16 Jul 2024
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning Son Nguyen Thinh Nguyen Khoa D. Doan Kok-Seng Wong FedML AAML 32 0 0 03 Jul 2024
Is ReLU Adversarially Robust? Korn Sooksatra Greg Hamerly Pablo Rivas 21 3 0 06 May 2024
Imperceptible Protection against Style Imitation from Diffusion Models Namhyuk Ahn Wonhyuk Ahn Kiyoon Yoo Daesik Kim Seung-Hun Nam WIGM AAML DiffM 49 6 0 28 Mar 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection Boyang Peng Sanqing Qu Yong Wu Tianpei Zou Lianghua He Alois Knoll Guang Chen Changjun Jiang AAML 39 3 0 07 Mar 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness David Fernández Llorca Ronan Hamon Henrik Junklewitz Kathrin Grosse Lars Kunze ... Nick Reed Alexandre Alahi Emilia Gómez Ignacio E. Sánchez Á. Kriston 53 5 0 21 Feb 2024
Generating Robust Adversarial Examples against Online Social Networks (OSNs) Jun Liu Jiantao Zhou Haiwei Wu Weiwei Sun Jinyu Tian AAML 37 5 0 19 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 16 0 01 Oct 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 37 62 0 30 Aug 2023
The Power of Typed Affine Decision Structures: A Case Study Gerrit Nolte Maximilian Schlüter Alnis Murtovi Bernhard Steffen AAML 20 3 0 28 Apr 2023
FedRight: An Effective Model Copyright Protection for Federated Learning Jinyin Chen Mingjun Li Mingjun Li Haibin Zheng FedML 25 12 0 18 Mar 2023
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks Wen-Xi Tan Justus Renkhoff Alvaro Velasquez Ziyu Wang Lu Li Jian Wang Shuteng Niu Fan Yang Yongxin Liu Haoze Song AAML 35 6 0 09 Mar 2023
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach Justus Renkhoff Wenkai Tan Alvaro Velasquez William Yichen Wang Yongxin Liu Jian Wang Shuteng Niu Lejla Begic Fazlic Guido Dartmann Haoze Song AAML 45 7 0 08 Mar 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 24 1 0 01 Jan 2023
Imperceptible Adversarial Attack via Invertible Neural Networks Zihan Chen Zifan Wang Junjie Huang Wentao Zhao Xiao Liu Dejian Guan AAML 36 20 0 28 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 27 20 0 17 Nov 2022
$Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$-divergence$ Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$ -divergence Arip Asadulaev Alexander Panfilov Andrey Filchenkov AAML 24 0 0 18 Jul 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Mohamed Bennai AAML 33 8 0 27 May 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 15 18 0 03 Mar 2022
Amicable Aid: Perturbing Images to Improve Classification Performance Juyeop Kim Jun-Ho Choi Soobeom Jang Jong-Seok Lee AAML 21 2 0 09 Dec 2021
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks Haowen Lin Jian Lou Li Xiong Cyrus Shahabi MQ AAML 19 13 0 21 Aug 2021
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 60 63 0 26 Apr 2021
Fashion-Guided Adversarial Attack on Person Segmentation Marc Treu Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 33 12 0 17 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 38 65 0 09 Apr 2021
Unsupervised Robust Domain Adaptation without Source Data Peshal Agarwal D. Paudel Jan-Nico Zaech Luc Van Gool OOD TTA 29 27 0 26 Mar 2021
Generating Structured Adversarial Attacks Using Frank-Wolfe Method Ehsan Kazemi Thomas Kerdreux Liquang Wang AAML DiffM 21 1 0 15 Feb 2021
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction Pu Sun Yuezun Li H. Qi Siwei Lyu 15 17 0 01 Feb 2021
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss Pengrui Quan Ruiming Guo Mani B. Srivastava AAML 16 1 0 31 Jan 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 38 55 0 24 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 59 140 0 21 Dec 2020
Towards Imperceptible Universal Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 24 1 0 24 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 32 12 0 12 Nov 2020
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification Yongwei Wang Mingquan Feng Rabab Ward Z. J. Wang Lanjun Wang AAML 19 3 0 30 Oct 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack Hui Liu Bo Zhao Minzhi Ji Peng Liu AAML 29 6 0 14 Oct 2020
DeepDyve: Dynamic Verification for Deep Neural Networks Yu Li Min Li Bo Luo Ye Tian Qiang Xu AAML 16 30 0 21 Sep 2020
Robust Deep Learning Ensemble against Deception Wenqi Wei Ling Liu AAML 45 29 0 14 Sep 2020
Trace-Norm Adversarial Examples Ehsan Kazemi Thomas Kerdreux Liqiang Wang 20 2 0 02 Jul 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 19 92 0 05 May 2020
TensorShield: Tensor-based Defense Against Adversarial Attacks on Images Negin Entezari Evangelos E. Papalexakis AAML 16 6 0 18 Feb 2020
Input Validation for Neural Networks via Runtime Local Robustness Verification Jiangchao Liu Liqian Chen A. Miné Ji Wang AAML 11 9 0 09 Feb 2020
On Functional Test Generation for Deep Neural Network IPs Bo Luo Yu LI Lingxiao Wei Qiang Xu AAML 16 13 0 23 Nov 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks Yizhen Dong Peixin Zhang Jingyi Wang Shuang Liu Jun Sun Jianye Hao Xinyu Wang Li Wang J. Dong Ting Dai OOD AAML 21 32 0 14 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 18 142 0 06 Nov 2019
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Emre Gursoy Stacey Truex Yanzhao Wu AAML 15 12 0 01 Oct 2019
Sparse and Imperceivable Adversarial Attacks Francesco Croce Matthias Hein AAML 39 199 0 11 Sep 2019