382 citations · 2.5k across the 96 of their papers we have counts for
14 papers · 1 filter
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…
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce, Maksym Andriushchenko, Vikash Sehwag +5
As a research community, we are still lacking a systematic understanding of the progress on adversarial robustness which often makes it hard to identify the most promising ideas in…
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…
A Critical Evaluation of Open-World Machine Learning
Liwei Song, Vikash Sehwag, Arjun Nitin Bhagoji +1
Open-world machine learning (ML) combines closed-world models trained on in-distribution data with out-of-distribution (OOD) detectors, which aim to detect and reject OOD inputs. P…
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks
Vikash Sehwag, Rajvardhan Oak, Mung Chiang +1
With increasing expressive power, deep neural networks have significantly improved the state-of-the-art on image classification datasets, such as ImageNet. In this paper, we invest…