308 citations · 818 across the 33 of their papers we have counts for
6 papers · 1 filter
SIGL: Securing Software Installations Through Deep Graph Learning
Xueyuan Han, Xiao Yu, Thomas Pasquier +5
Many users implicitly assume that software can only be exploited after it is installed. However, recent supply-chain attacks demonstrate that application integrity must be ensured…
The EuroSys 2020 Online Conference: Experience and lessons learned
Angelos Bilas, Dejan Kostic, Kostas Magoutis +4
The 15th European Conference on Computer Systems (EuroSys'20) was organized as a virtual (online) conference on April 27-30, 2020. The main EuroSys'20 track took place April 28-30,…
Generalized and Scalable Optimal Sparse Decision Trees
Jimmy Lin, Chudi Zhong, Diane Hu +2
Decision tree optimization is notoriously difficult from a computational perspective but essential for the field of interpretable machine learning. Despite efforts over the past 40…
Parking Packet Payload with P4
Swati Goswami, Nodir Kodirov, Craig Mustard +2
Network Function (NF) deployments suffer from poor link goodput, because popular NFs such as firewalls process only packet headers while receiving and transmitting complete packets…
Xanthus: Push-button Orchestration of Host Provenance Data Collection
Xueyuan Han, James Mickens, Ashish Gehani +2
Host-based anomaly detectors generate alarms by inspecting audit logs for suspicious behavior. Unfortunately, evaluating these anomaly detectors is hard. There are few high-quality…
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats
Xueyuan Han, Thomas Pasquier, Adam Bates +2
Advanced Persistent Threats (APTs) are difficult to detect due to their "low-and-slow" attack patterns and frequent use of zero-day exploits. We present UNICORN, an anomaly-based A…