Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity

3 July 2021

Papers citing "Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity"

8 / 8 papers shown

Title
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models Namhyuk Ahn Kiyoon Yoo Wonhyuk Ahn Daesik Kim Seung-Hun Nam AAML WIGM DiffM 94 0 0 16 Dec 2024
Natural Language Induced Adversarial Images Xiaopei Zhu Peiyang Xu Guanning Zeng Yingpeng Dong Xiaolin Hu AAML 33 0 0 11 Oct 2024
Unified Physical-Digital Face Attack Detection Hao Fang Ajian Liu Haocheng Yuan Junze Zheng Dingheng Zeng ... Jiankang Deng Sergio Escalera Xiaoming Liu Jun Wan Zhen Lei CVBM AAML 23 13 0 31 Jan 2024
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 42 16 0 01 Oct 2023
Addressing Mistake Severity in Neural Networks with Semantic Knowledge Natalie Abreu Nathan Vaska Victoria Helus AAML OOD 32 3 0 21 Nov 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 37 11 0 04 Jun 2022
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 45 225 0 19 Feb 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 335 5,849 0 08 Jul 2016