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09/21/2023
How Robust is Google's Bard to Adversarial Image Attacks?
Multimodal Large Language Models (MLLMs) that integrate text and other m...
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08/24/2023
Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning
Vision-language pre-training models (VLP) are vulnerable, especially to ...
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06/15/2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World
Adversarial attacks in the physical world, particularly patch attacks, p...
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03/16/2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Deep learning models are vulnerable to adversarial examples. Transfer-ba...
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02/28/2023
GNOT: A General Neural Operator Transformer for Operator Learning
Learning partial differential equations' (PDEs) solution operators is an...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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06/09/2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Certified defenses such as randomized smoothing have shown promise towar...
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05/28/2022
BadDet: Backdoor Attacks on Object Detection
Deep learning models have been deployed in numerous real-world applicati...
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05/31/2021
Adversarial Training with Rectified Rejection
Adversarial training (AT) is one of the most effective strategies for pr...
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05/25/2019
