Differentiable JPEG: The Devil is in the Details

13 September 2023

Papers citing "Differentiable JPEG: The Devil is in the Details"

8 / 8 papers shown

Title
Transferable Adversarial Attacks on Black-Box Vision-Language Models Kai Hu Weichen Yu L. Zhang Alexander Robey Andy Zou Chengming Xu Haoqi Hu Matt Fredrikson AAML VLM 54 0 0 02 May 2025
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Alexander Gushchin Khaled Abud Georgii Bychkov E. Shumitskaya Anna Chistyakova Sergey Lavrushkin Bader Rasheed Kirill Malyshev D. Vatolin Anastasia Antsiferova AAML 42 2 0 02 Aug 2024
A Perspective on Deep Vision Performance with Standard Image and Video Codecs Christoph Reich Oliver Hahn Daniel Cremers Stefan Roth Biplob K. Debnath 28 1 0 18 Apr 2024
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast Xiangming Gu Xiaosen Zheng Tianyu Pang Chao Du Qian Liu Ye Wang Jing Jiang Min-Bin Lin LLMAG LM&Ro 35 47 0 13 Feb 2024
VMAF Re-implementation on PyTorch: Some Experimental Results Kirill Aistov Maxim Koroteev 25 1 0 24 Oct 2023
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 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 282 39,170 0 01 Sep 2014