Alumni
- Yizheng Chen (University of Maryland, College Park), Postdoc, 2023.
- Nabeel Hingun (HiddenLayer),
M.S., 2023,
Scaling Part Models: Challenges and Solutions for Robustness on Large Datasets.
- Nathan Malkin (University of Maryland, College Park), Ph.D., 2021,
Privacy Controls for Always-Listening Devices.
- An Ju, Ph.D., 2021,
Generative Models as a Robust Alternative for Image Classification: Progress and Challenges.
- Alan Rosenthal (Dexterity Capital), M.S., 2021,
Improving the Efficiency of Robust Generative Classifiers.
- Henry Xu, M.S., 2021,
Model-Agnostic Defense for Lane Detection Against Adversarial Attack.
- Zhanyuan Zhang (Petuum), M.S., 2021,
Towards Characterizing Model Extraction Queries and How to Detect Them.
- Zachary Golan-Strieb (Duolingo), M.S., 2021,
Towards Evaluating and Understanding the Adversarial Robustness of Random Transformation Defenses.
- Michael McCoyd, Ph.D., 2020,
Background and Occlusion Defenses Against Adversarial Examples and Adversarial Patches.
- Grant Ho (UCSD), Ph.D., 2020,
Thwarting Sophisticated Enterprise Attacks: Data-Driven Methods and Insights.
- Neil Shah (Workday), M.S., 2020.
A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts.
- Steven Chen, M.S., 2019,
Stateful detection of black box adversarial attacks.
- Nicholas Carlini (Google),
Ph.D., 2018,
Evaluation and Design of Robust Neural Network Defenses.
- Rebecca Portnoff (Thorn),
Ph.D., 2018,
The Dark Net: De-Anonymization, Classification and Analysis.
- Thurston Dang (MIT),
Ph.D., 2017,
Towards Improved Mitigations for Two Attacks on Memory Safety.
- Chris Thompson (Google),
Ph.D., 2017,
Large-Scale Analysis of Modern Code Review Practices and Software Security in Open Source Software.
- Lynn Tsai (Google),
M.S., 2017,
TurtleGuard: Helping Android Users Apply Contextual Privacy Preferences.
- Michael Theodorides (Yahoo),
M.S., 2017,
Breaking Active-Set Backward-Edge Control-Flow Integrity.
- Linda Lee (Zcash),
M.S., 2016,
Tor's Usability for Censorship Circumvention.
- Arjun Baokar,
M.S., 2016,
A Contextually-Aware, Privacy-Preserving Android Permission Model.
- Sakshi Jain (LinkedIn),
M.S., 2014,
Automated Discovery of User Trackers.
- Cynthia Sturton (UNC Chapel Hill),
Ph.D., 2013,
Secure Virtualization with Formal Methods.
- Erika Chin
(Twitter),
Ph.D., 2013,
Helping Developers Construct Secure Mobile Applications.
- Matthew Finifter
(Uber),
Ph.D., 2013,
Towards Evidence-Based Assessment of Factors Contributing to the Introduction and Detection of Software Vulnerabilities.
- Adrian Mettler
(Fireeye),
Ph.D., 2012,
Language and Framework Support for Reviewably-Secure Software Systems.
- Adrienne Porter Felt
(Google),
Ph.D., 2012,
Towards Comprehensible and Effective Permission Systems.
- Arel Cordero,
Ph.D., 2010:
Enabling More Meaningful Post-Election
Investigations.
- David Molnar
(Microsoft Research),
Ph.D., 2009:
Dynamic Test Generation for Large Binary
Programs.
- Chris Karlof
(Mozilla),
Ph.D., 2009:
Human Factors in Web Authentication.
- Karl Chen (D.E. Shaw), 2008.
- Ka-Ping Yee
(Wave),
Ph.D., 2007: Building Reliable Voting
Machine Software.
- Naveen Sastry (McKinsey),
Ph.D., 2007: Verifying Security Properties
in Electronic Voting Machines.
- Umesh Shankar (Google).
Ph.D., 2006: Bridging the Gap between People
and Policies in Security and Privacy.
- Rob Johnson
(VMWare).
Ph.D., 2006: Verifying Security Properties
using Type-Qualifier Inference.
- Hao Chen (U.C. Davis).
Ph.D., 2004: Lightweight Model Checking
for Improving Software Security.
- Jason Waddle (Google).
M.S., 2004: Formalizing Secure Computation
for Embedded Systems.
- Ben Schwarz,
M.S., 2005: Model Checking An Entire
Linux Distribution for Security Violations.
</ul>
