1k citations · 10.8k across the 111 of their papers we have counts for
21 papers · 1 filter
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance
Usmann Khan, Lun Wang, Jithendaraa Subramanian +2
Today's massive scale of data collection coupled with recent surges of consumer data leaks has led to increased attention towards data privacy and related risks. Conventional data…
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum, Dimitris Tsipras, Chulin Xie +6
As machine learning systems grow in scale, so do their training data requirements, forcing practitioners to automate and outsource the curation of training data in order to achieve…
Extracting Training Data from Large Language Models
Nicholas Carlini, Florian Tramer, Eric Wallace +9
It has become common to publish large (billion parameter) language models that have been trained on private datasets. This paper demonstrates that in such settings, an adversary ca…
Adversarial Examples for -Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song +1
Adversarial examples are a widely studied phenomenon in machine learning models. While most of the attention has been focused on neural networks, other practical models also suffer…
Language Models are Open Knowledge Graphs
Chenguang Wang, Xiao Liu, Dawn Song
This paper shows how to construct knowledge graphs (KGs) from pre-trained language models (e.g., BERT, GPT-2/3), without human supervision. Popular KGs (e.g, Wikidata, NELL) are bu…
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence
Peng Gao, Fei Shao, Xiaoyuan Liu +6
Log-based cyber threat hunting has emerged as an important solution to counter sophisticated attacks. However, existing approaches require non-trivial efforts of manual query const…