Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning

14 July 2023

Papers citing "Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning"

10 / 10 papers shown

Title
Phantom of Latent for Large Language and Vision Models Byung-Kwan Lee Sangyun Chung Chae Won Kim Beomchan Park Yong Man Ro VLM LRM 39 6 0 23 Sep 2024
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition Haijun Xiong Bin Feng Xinggang Wang Wenyu Liu CVBM 34 2 0 17 Jul 2024
TroL: Traversal of Layers for Large Language and Vision Models Byung-Kwan Lee Sangyun Chung Chae Won Kim Beomchan Park Yong Man Ro 26 6 0 18 Jun 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models Byung-Kwan Lee Chae Won Kim Beomchan Park Yonghyun Ro MLLM LRM 31 17 0 24 May 2024
MoAI: Mixture of All Intelligence for Large Language and Vision Models Byung-Kwan Lee Beomchan Park Chae Won Kim Yonghyun Ro MLLM VLM 40 20 0 12 Mar 2024
CoLLaVO: Crayon Large Language and Vision mOdel Byung-Kwan Lee Beomchan Park Chae Won Kim Yonghyun Ro VLM MLLM 26 16 0 17 Feb 2024
Causal Unsupervised Semantic Segmentation Junho Kim Byung-Kwan Lee Yonghyun Ro 33 18 0 11 Oct 2023
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 192 258 0 10 Nov 2021
Automatic Double Machine Learning for Continuous Treatment Effects Sylvia Klosin 31 8 0 21 Apr 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016