Imperceptible Adversarial Attack via Invertible Neural Networks

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Imperceptible Adversarial Attack via Invertible Neural Networks

28 November 2022

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Papers citing "Imperceptible Adversarial Attack via Invertible Neural Networks"

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Title
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 85 0 0 15 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 123 0 0 12 Mar 2025
SMILENet: Unleashing Extra-Large Capacity Image Steganography via a Synergistic Mosaic InvertibLE Hiding Network Jun-Jie Huang Zihan Chen Tianrui Liu Wentao Zhao Xin Deng Xinwang Liu Meng Wang Pier Luigi Dragotti 144 0 0 07 Mar 2025
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception Yuanhao Huang Qinfan Zhang Jiandong Xing Mengyue Cheng Haiyang Yu Yilong Ren Xiao Xiong AAML 110 2 0 12 Feb 2025
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 169 0 0 15 Dec 2024
Semantic Deep Hiding for Robust Unlearnable Examples Ruohan Meng Chenyu Yi Yi Yu Siyuan Yang Bingquan Shen Alex C. Kot 131 5 0 25 Jun 2024
SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks Yi Pan Jun-Jie Huang Zihan Chen Wentao Zhao Ziyue Wang 50 0 0 04 Jun 2024
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 61 4 0 21 Oct 2023