Imperceptible Adversarial Attack via Invertible Neural Networks

28 November 2022

Papers citing "Imperceptible Adversarial Attack via Invertible Neural Networks"

9 / 9 papers shown

Title
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 61 0 0 12 Mar 2025
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 39 4 0 21 Oct 2023
IICNet: A Generic Framework for Reversible Image Conversion Ka Leong Cheng Yueqi Xie Qifeng Chen 40 24 0 09 Sep 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal Yang Liu Zhenyue Qin Saeed Anwar Pan Ji Dongwoo Kim Sabrina Caldwell Tom Gedeon 70 143 0 21 Apr 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 68 192 0 31 Jan 2021
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 38 223 0 19 Feb 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 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 282 39,170 0 01 Sep 2014