Enhance the Visual Representation via Discrete Adversarial Training

16 September 2022

Papers citing "Enhance the Visual Representation via Discrete Adversarial Training"

8 / 8 papers shown

Title
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 26 1 0 15 Mar 2024
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search Qihao Liu Adam Kortylewski Yutong Bai Song Bai Alan Yuille DiffM 21 12 0 01 Jun 2023
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 23 7 0 18 Dec 2022
Context-Aware Robust Fine-Tuning Xiaofeng Mao YueFeng Chen Xiaojun Jia Rong Zhang Hui Xue Zhao Li VLM CLIP 12 23 0 29 Nov 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 205 430 0 25 Sep 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 230 909 0 21 Apr 2018