Scalable Graph-based Bug Search for Firmware Images. - Qian Feng; Rundong Zhou; Chengcheng Xu; Yao Cheng; Brian Testa; Heng Yin 001 (CCS, 2016)

ChaffyScript: Vulnerability-Agnostic Defense of JavaScript Exploits via Memory Perturbation. - Xunchao Hu; Brian Testa; Heng Yin 001 (SecureComm (1), 2019)

A General Framework for Auditing Differentially Private Machine Learning. - Fred Lu; Joseph Munoz; Maya Fuchs; Tyler LeBlond; Elliott Zaresky-Williams; Edward Raff; Francis Ferraro; Brian Testa (NeurIPS, 2022)

Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning. - Brian Testa; Yi Xiao 006; Avery Gump; Asif Salekin (CoRR, 2022)

Differentially Private Logistic Regression with Sparse Solutions. - Amol Khanna; Fred Lu; Edward Raff; Brian Testa (AISec@CCS, 2023)

Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. - Tyler LeBlond; Joseph Munoz; Fred Lu; Maya Fuchs; Elliott Zaresky-Williams; Edward Raff; Brian Testa (AISec@CCS, 2023)

Sparse Private LASSO Logistic Regression. - Amol Khanna; Fred Lu; Edward Raff; Brian Testa (CoRR, 2023)

Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning. - Brian Testa; Yi Xiao 006; Harshit Sharma; Avery Gump; Asif Salekin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models. - Weiheng Chai; Brian Testa; Huantao Ren; Asif Salekin; Senem Velipasalar (CoRR, 2024)