How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses

18 May 2023

Papers citing "How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses"

39 / 39 papers shown

Title
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain Spyridon Raptis Haralampos-G. Stratigopoulos AAML 14 0 0 07 May 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent Philip Doldo Derek Everett Amol Khanna A. Nguyen Edward Raff AAML 36 0 0 25 Mar 2025
Attacking Multimodal OS Agents with Malicious Image Patches Lukas Aichberger Alasdair Paren Y. Gal Philip H. S. Torr Adel Bibi AAML 51 2 0 13 Mar 2025
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks Cagla Ipek Kocal Onat Gungor Aaron Tartz T. Rosing Baris Aksanli AAML 57 0 0 10 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges Nandish Chattopadhyay Abdul Basit B. Ouni Muhammad Shafique AAML 28 0 0 01 Mar 2025
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 29 0 0 28 Feb 2025
Unified Prompt Attack Against Text-to-Image Generation Models Duo Peng Qiuhong Ke Mark He Huang Ping Hu J. Liu 41 0 0 23 Feb 2025
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving Prashant Shekhar Bidur Devkota Dumindu Samaraweera Laxima Niure Kandel Manoj Babu AAML 43 0 0 22 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 55 0 0 08 Feb 2025
Topological Signatures of Adversaries in Multimodal Alignments Minh Vu Geigh Zollicoffer Huy Mai B. Nebgen Boian S. Alexandrov Manish Bhattarai AAML 59 0 0 29 Jan 2025
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 78 0 0 04 Dec 2024
Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Zijiao Yang Xiangxi Shi Eric Slyman Stefan Lee AAML 69 0 0 03 Dec 2024
Brain-like emergent properties in deep networks: impact of network architecture, datasets and training Niranjan Rajesh Georgin Jacob SP Arun OOD 61 0 0 25 Nov 2024
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Won Jun Kim Hyungjin Chung Jaemin Kim Sangmin Lee Byeongsu Sim Jong Chul Ye DiffM 65 0 0 22 Nov 2024
Classification under strategic adversary manipulation using pessimistic bilevel optimisation David Benfield Stefano Coniglio Martin Kunc Phan Tu Vuong A. Zemkoho AAML 22 0 0 26 Oct 2024
Robust Network Learning via Inverse Scale Variational Sparsification Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun AAML 20 0 0 27 Sep 2024
Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples Saiyue Lyu Shadab Shaikh Frederick Shpilevskiy Evan Shelhamer Mathias Lécuyer AAML 17 0 0 14 Jun 2024
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents Ethan Rathbun Christopher Amato Alina Oprea OffRL AAML 30 3 0 30 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 36 0 0 27 May 2024
Harmonic Machine Learning Models are Robust Nicholas S. Kersting Yi Li Aman Mohanty Oyindamola Obisesan Raphael Okochu AAML 30 1 0 29 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 28 5 0 08 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 24 5 0 01 Apr 2024
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Andrew Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 21 3 0 04 May 2023
DensePure: Understanding Diffusion Models towards Adversarial Robustness Chaowei Xiao Zhongzhu Chen Kun Jin Jiong Wang Weili Nie Mingyan D. Liu Anima Anandkumar Bo-wen Li D. Song DiffM 30 33 0 01 Nov 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 187 410 0 16 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 170 256 0 10 Nov 2021
Certified Patch Robustness via Smoothed Vision Transformers Hadi Salman Saachi Jain Eric Wong Aleksander Mkadry AAML 57 57 0 11 Oct 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie M. Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 43 76 0 09 Aug 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 248 618 0 21 May 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 207 668 0 19 Oct 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 151 222 0 08 Mar 2020
Data-Free Adversarial Perturbations for Practical Black-Box Attack Zhaoxin Huan Yulong Wang Xiaolu Zhang L. Shang Chilin Fu Jun Zhou 6 12 0 03 Mar 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 222 1,818 0 03 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 3,102 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 178 929 0 21 Oct 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014