James Bailey
- Papers
- 11
Cite
Notes
Only stored in your browser.
Authored papers
11X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
arXiv 2025
Detecting Backdoor Samples in Contrastive Language Image Pretraining
arXiv 2025
Safety at Scale: A Comprehensive Survey of Large Model Safety
arXiv 2025
LDReg: Local Dimensionality Regularized Self-Supervised Learning
arXiv 2024
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery
arXiv 2024
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
arXiv 2024
Distilling Cognitive Backdoor Patterns within an Image
arXiv 2023
Unlearnable Examples: Making Personal Data Unexploitable
unlearnable-examples-making-personal-data
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
NeurIPS 2021 12
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness
arXiv 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
ICML 2020 1
Affiliations
Frequent co-authors
10from 11 papers