research
∙
09/01/2023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models
As Large Language Models quickly become ubiquitous, it becomes critical ...
share
research
∙
06/23/2023
Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
With the rise of Large Language Models (LLMs) and their ubiquitous deplo...
research
∙
06/22/2023
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches
Certifiably robust defenses against adversarial patches for image classi...
research
∙
06/07/2023
On the Reliability of Watermarks for Large Language Models
As LLMs become commonplace, machine-generated text has the potential to ...
research
∙
06/16/2022
Backdoor Attacks on Vision Transformers
Vision Transformers (ViT) have recently demonstrated exemplary performan...
research
∙
05/21/2021
Backdoor Attacks on Self-Supervised Learning
Large-scale unlabeled data has allowed recent progress in self-supervise...
research
∙
09/30/2019
Adversarial Patches Exploiting Contextual Reasoning in Object Detection
The usefulness of spatial context in most fast object detection algorith...
research
∙
09/30/2019
Hidden Trigger Backdoor Attacks
With the success of deep learning algorithms in various domains, studyin...
research
∙
06/26/2019
