Sparse and Imperceivable Adversarial Attacks

11 September 2019

Matthias Hein

Papers citing "Sparse and Imperceivable Adversarial Attacks"

39 / 39 papers shown

Title
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 47 0 0 17 Mar 2025
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models Sejoon Oh Yiqiao Jin Megha Sharma Donghyun Kim Eric Ma Gaurav Verma Srijan Kumar 65 6 0 03 Nov 2024
S-CFE: Simple Counterfactual Explanations Shpresim Sadiku Moritz Wagner Sai Ganesh Nagarajan Sebastian Pokutta 26 0 0 21 Oct 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Luca Demetrio Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 44 7 0 30 Apr 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad D. Ranasinghe AAML 38 5 0 08 Apr 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan V. Oseledets AAML 38 0 0 25 Jan 2024
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 43 4 0 21 Oct 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation K. K. Nakka Mathieu Salzmann DRL CoGe 26 2 0 20 Sep 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 31 7 0 01 Jul 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 40 50 0 18 May 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 15 9 0 23 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 24 1 0 01 Jan 2023
SAIF: Sparse Adversarial and Imperceptible Attack Framework Tooba Imtiaz Morgan Kohler Jared Miller Zifeng Wang Octavia Camps Mario Sznaier Octavia Camps Jennifer Dy AAML 34 0 0 14 Dec 2022
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs Helene Orsini Hongyan Bao Yujun Zhou Xiangrui Xu Yufei Han Longyang Yi Wei Wang Xin Gao Xiangliang Zhang AAML 21 1 0 13 Dec 2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification Suorong Yang Jinqiao Li Jian Zhao S. Furao AAML 30 6 0 29 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
On the interplay of adversarial robustness and architecture components: patches, convolution and attention Francesco Croce Matthias Hein 41 6 0 14 Sep 2022
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing Longkang Li Baoyuan Wu 21 3 0 05 Jul 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 26 11 0 04 Jun 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Muhammad Shafique AAML 33 8 0 27 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks Shutong Wu Sizhe Chen Cihang Xie X. Huang AAML 45 27 0 24 May 2022
Random Walks for Adversarial Meshes Amir Belder Gal Yefet Ran Ben Izhak A. Tal AAML 30 2 0 15 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models Viet Vo Ehsan Abbasnejad D. Ranasinghe AAML 30 14 0 31 Jan 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 27 2 0 23 Jan 2022
The Fundamental Limits of Interval Arithmetic for Neural Networks M. Mirman Maximilian Baader Martin Vechev 32 6 0 09 Dec 2021
Adversarial Token Attacks on Vision Transformers Ameya Joshi Gauri Jagatap C. Hegde ViT 30 19 0 08 Oct 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
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Saeed Mian AAML 27 33 0 20 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
An Overview of Laser Injection against Embedded Neural Network Models Mathieu Dumont Pierre-Alain Moëllic R. Viera J. Dutertre Rémi Bernhard AAML 30 9 0 04 May 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 18 0 16 Apr 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack Ashkan Esmaeili Marzieh Edraki Nazanin Rahnavard M. Shah Ajmal Saeed Mian AAML 30 2 0 19 Mar 2021
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 35 122 0 21 Dec 2020
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries Jinyin Chen Zhen Wang Haibin Zheng Jun Xiao Zhaoyan Ming AAML 11 5 0 18 Dec 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack Xiaoyi Dong Dongdong Chen Jianmin Bao Chuan Qin Lu Yuan Weiming Zhang Nenghai Yu Dong Chen AAML 10 63 0 26 Oct 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 19 91 0 05 May 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 36 38 0 26 Feb 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016