CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search
**Adversarial Machine Learning**, **CVPR 2023** Adversarial transfer of textually defined Makeup for facial privacy.
Feb 27, 2023
Boosting Adversarial Transferability using Dynamic Cues
**Adversarial Machine Learning**, **ICLR 2023** Learning temporal prompts within image models (ViTs) to fool video models.
Feb 1, 2023
Stylized Adversarial Defense
**TPAMI 2022**, **Impact Factor [24.31]** Target-aware adversarial training with style, content, and boundary loss.
Apr 1, 2022
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
**TNNLS 2022**, **Impact Factor [14.25]** Match and Deceive loss for guidance to break adversarial defenses.
Mar 1, 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations
**Adversarial Machine Learning**, **BMVC 2022**, **Oral**, **Top 9.5%** Self-supervised adversarial training for transferable attacks.
Feb 1, 2022
Self-Distilled Vision Transformer for Domain Generalization
**Self-Learning**, **ACCV 2022**, **Oral**, **Top 14.6%** Self-regularization for Vision Transformer for Domain Generalization.
Feb 1, 2022
Self-supervised Video Transformer
**Self-Learning**, **CVPR 2022**, **Oral**, **Top 5.0%** Self-supervised spatiotemporal view matching for video understanding.
Feb 1, 2022
On Improving Adversarial Transferability of Vision Transformers
**Adversarial Machine Learning**, **ICLR 2022**, **Spotlight**, **Top 5.0%** Self-ensemble with token/feature refinement for adversarial transferability.
Feb 1, 2022
How to Train Vision Transformer on Small-scale Datasets?
**BMVC 2022** Learning self-supervised inductive biases from small data for ViTs.
Feb 1, 2022
Intriguing Properties of Vision Transformers
**Visual-Spatial Perception**, **NeurIPS 2021**, **Spotlight**, **Top 3.0%** Analysis of neural behavioral patterns of self-attention within ViTs.
Sep 1, 2021