CLIP-Guided Networks for Transferable Targeted Attacks

14 July 2024

Papers citing "CLIP-Guided Networks for Transferable Targeted Attacks"

7 / 7 papers shown

Title
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang AAML 28 0 0 19 Apr 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization Yixiao Chen Shikun Sun Jianshu Li Ruoyu Li Zhe Li Junliang Xing AAML 109 0 0 04 Feb 2025
Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing Bin Chen Wenbo Yu Qinshan Zhang Tianqu Zhuang Yong Jiang Shu-Tao Xia 151 0 0 24 Nov 2024
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search Wenbo Yu Hao Fang Bin Chen Xiaohang Sui Chuan Chen Hao Wu Shu-Tao Xia Ke Xu AAML AI4CE 38 4 0 31 May 2024
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis Ming Tao Bingkun Bao Hao Tang Changsheng Xu DiffM VLM 65 101 0 30 Jan 2023
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 255 36,362 0 25 Aug 2016