AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial
Contrastive Prompt Tuning

AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning

4 August 2024

Zhineng Chen

Papers citing "AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning"

9 / 9 papers shown

Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 44 0 0 08 May 2025
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models Xin Wang Kai-xiang Chen Jiaming Zhang Jingjing Chen Xingjun Ma AAML VPVLM VLM 88 1 0 20 Nov 2024
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks Ryan Feng Ashish Hooda Neal Mangaokar Kassem Fawaz S. Jha Atul Prakash AAML 63 11 0 11 Mar 2023
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning Rundong Luo Yifei Wang Yisen Wang 34 25 0 02 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 272 4,244 0 30 Jan 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 392 4,137 0 28 Jan 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 194 345 0 15 Dec 2021
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack Minhao Cheng Simranjit Singh Patrick H. Chen Pin-Yu Chen Sijia Liu Cho-Jui Hsieh AAML 124 219 0 24 Sep 2019
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 296 39,198 0 01 Sep 2014