X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Paper • 2505.05528 • Published May 8
LDReg: Local Dimensionality Regularized Self-Supervised Learning Paper • 2401.10474 • Published Jan 19, 2024
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers Paper • 2408.01705 • Published Aug 3, 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Paper • 2411.15210 • Published Nov 20, 2024
Detecting Backdoor Samples in Contrastive Language Image Pretraining Paper • 2502.01385 • Published Feb 3 • 1
Normalized Loss Functions for Deep Learning with Noisy Labels Paper • 2006.13554 • Published Jun 24, 2020
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Paper • 2110.03825 • Published Oct 7, 2021
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Paper • 2006.13726 • Published Jun 24, 2020
Safety at Scale: A Comprehensive Survey of Large Model Safety Paper • 2502.05206 • Published Feb 2 • 1
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models Paper • 2408.12798 • Published Aug 23, 2024
Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks Paper • 2401.15295 • Published Jan 27, 2024
Neural Architecture Search via Combinatorial Multi-Armed Bandit Paper • 2101.00336 • Published Jan 1, 2021
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models Paper • 2410.19427 • Published Oct 25, 2024