3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models
Tianchen Zhang, Gururaj Saileshwar, David Lie
This paper demonstrates a new side-channel that enables an adversary to extract sensitive information about inference inputs in large language models (LLMs) based on the number of…
cs.CL2024★ 1 cited
Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning
Wenjun Qiu, David Lie, Lisa Austin
A significant challenge to training accurate deep learning models on privacy policies is the cost and difficulty of obtaining a large and comprehensive set of training data. To add…
cs.HC2023★ 3 cited
Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails
Mu-Huan Chung, Lu Wang, Sharon Li +6
Research on email anomaly detection has typically relied on specially prepared datasets that may not adequately reflect the type of data that occurs in industry settings. In our re…