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CertMike Explains Privacy by Design
Bo Li: Trustworthy Machine Learning: Robustness, Privacy, Generalization, and their Interconnections
Lecture 5 - Differential Privacy for Adversarial Robustness
Certified Robustness to Adversarial Examples with Differential Privacy
Towards robust and privacy preserving AI
Membership Inference Attacks against Adversarially Robust Deep Learning Models
DECENTRALIZED PRIVACY SOLUTIONS FOR BIG DATA: THE PROMISE OF DISTRIBUTED LEDGER TECHNOLOGIES
Secure Trusted Overlay Networks for Robust Privacy-Protecting Communication
Research Seminar: Privacy & Adversarial Robustness in Statistical Estimation by Prof. Linjun Zhang
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Last Updated: September 6, 2026
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Ari Ezra Waldman outlines what a more Lydia Zakynthinou (UC Berkeley) simons.berkeley.edu/talks/lydia-zakynthinou-uc-berkeley-2023-09-08 Meet the Fellows ... Recorded: 11/07/2012 CERIAS Security Seminar at Purdue University Publishing Microdata with IT Best Practices: Episode 66 -- Technological advances in our connected world are pressing businesses to re-examine Advances in machine learning have led to the rapid and widespread deployment of learning-based methods in safety-critical ... In this lecture we take a look at possible countermeasures against adversarial examples in deep learning models. In particular, we ... Wednesday, on April 29th, at 3:00 PM Title: Towards Membership Inference Attacks against Adversarially USENIX Security '21 - SWIFT: Super-fast and Sewoong Oh (University of Washington, Seattle) ... Authors Dr. Saad Ahmed Department of Computer Science, National University of Sciences and Technology (NUST), Islamabad, ... In this talk we present STONe, Secure Trusted Overlay Network, a novel Fall 2020 SIP Seminar Series: November 18, 2020 [ inspirelab.us/seminars/] Speaker: Prof. Linjun Zhang Title: The cost ...