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Abstract: The Great Firewall of Iran (GFI) has evolved significantly over the past decade, constantly adding sophisticated blocking techniques. Prior research into Iran’s Internet censorship, however, has primarily been one-off studies, leaving significant gaps in understanding the breadth and evolution of its filtering strategies.

Confidential computing implementations encrypt guest Virtual Machine (VM) memory to protect workloads from a malicious hypervisor. …

We address differentially private stochastic bandit problems from the angles of exploring the deep connections among Thompson Sampling …

Provenance-based intrusion detection systems (PIDSs) have garnered significant attention from the research community over the past …

Serverless applications consist of functions written in heterogeneous programming languages, use diverse data stores and communication …

Abstract: Many techniques have been introduced to measure network interference-tampering performed by nation-state censors or corporate firewalls to block unwanted traffic. However, virtually all prior measurement techniques require some degree of participation from endpoints within each country of study: including VPNs, cloud providers, or volunteers willing to run measurement software on their personal devices at their own risk.

Machine learning (ML) models can leak information about users, and differential privacy (DP) provides a rigorous way to bound that …

Past success in applying machine learning to data provenance graphs – a structured representation of the history of operating …

As cyber-threats grow in scale and sophistication, intrusion detection systems that incorporate system provenance and deep learning …

We propose Adaptive Randomized Smoothing (ARS) to certify the predictions of our test-time adaptive models against adversarial …