182 citations · 243 across the 5 of their papers we have counts for
6 papers
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
Hyrum S. Anderson, Anant Kharkar, Bobby Filar +2
Machine learning is a popular approach to signatureless malware detection because it can generalize to never-before-seen malware families and polymorphic strains. This has resulted…
Query-limited Black-box Attacks to Classifiers
Fnu Suya, Yuan Tian, David Evans +1
We study black-box attacks on machine learning classifiers where each query to the model incurs some cost or risk of detection to the adversary. We focus explicitly on minimizing t…
Efficient Dynamic Searchable Encryption with Forward Privacy
Mohammad Etemad, Alptekin Küpçü, Charalampos Papamanthou +1
Searchable symmetric encryption (SSE) enables a client to perform searches over its outsourced encrypted files while preserving privacy of the files and queries. Dynamic schemes, w…
Horcrux: A Password Manager for Paranoids
Hannah Li, David Evans
Vulnerabilities in password managers are unremitting because current designs provide large attack surfaces, both at the client and server. We describe and evaluate Horcrux, a passw…
Decentralized Certificate Authorities
Bargav Jayaraman, Hannah Li, David Evans
The security of TLS depends on trust in certificate authorities, and that trust stems from their ability to protect and control the use of a private signing key. The signing key is…
Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples
Weilin Xu, David Evans, Yanjun Qi
Feature squeezing is a recently-introduced framework for mitigating and detecting adversarial examples. In previous work, we showed that it is effective against several earlier met…