382 citations · 2.5k across the 96 of their papers we have counts for
7 papers · 2 filters
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…
Evaluating Snowflake as an Indistinguishable Censorship Circumvention Tool
Kyle MacMillan, Jordan Holland, Prateek Mittal
Tor is the most well-known tool for circumventing censorship. Unfortunately, Tor traffic has been shown to be detectable using deep-packet inspection. WebRTC is a popular web frame…
New Directions in Automated Traffic Analysis
Jordan Holland, Paul Schmitt, Nick Feamster +1
Despite the use of machine learning for many network traffic analysis tasks in security, from application identification to intrusion detection, the aspects of the machine learning…
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications
Sameer Wagh, Xi He, Ashwin Machanavajjhala +1
Differential privacy (DP) has arisen as the state-of-the-art metric for quantifying individual privacy when sensitive data are analyzed, and it is starting to see practical deploym…
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Sameer Wagh, Shruti Tople, Fabrice Benhamouda +3
We propose Falcon, an end-to-end 3-party protocol for efficient private training and inference of large machine learning models. Falcon presents four main advantages - (i) It is hi…
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song, Prateek Mittal
Machine learning models are prone to memorizing sensitive data, making them vulnerable to membership inference attacks in which an adversary aims to guess if an input sample was us…
Towards Probabilistic Verification of Machine Unlearning
David Marco Sommer, Liwei Song, Sameer Wagh +1
The right to be forgotten, also known as the right to erasure, is the right of individuals to have their data erased from an entity storing it. The status of this long held notion…