Dissertation Defenses

Investigating the VPN Ecosystem through the lens of Security, Privacy, and Usability

Overcoming Barriers to Information Exchange on the Web

Analysis of Situated Interactive Non-Expert Instruction of A Hierarchical Task to a Learning Robot

Multiagent Learning by Iterative Refinement of Game Models

Neural Language Generation for Content Adaptation: Explainable, Efficient Low-Resource Text Simplification and Evaluation

Mitigating Microarchitectural Vulnerabilities to Improve Cloud Security and Reliability

Simulation-based Approaches for Evaluating Information Elicitation and Information Aggregation Mechanisms

Efficient Game Solving through Transfer Learning

Efficient Data Movement for Accelerating Data-Intensive Applications

Social Reference Processing with Collaborative Human-AI Systems

Applying Software-Based Side-Channels to Hardware Vulnerabilities

Discovering Structured Representations for Reinforcement Learning

Understanding, Modeling and Leveraging Temporal Change in Mental Health

Minimalist Systems for Pervasive Machine Learning

Towards an Algorithmic Account of Phonological Rules and Representations

Achieving Security and Privacy via Encrypted Architectures

Cognitive Modeling of Aggregate and Individual Performance on the Remote Associates Test

Automating the Detection and Correction of Failures in Modern Persistent Memory Systems

Rescuing Data Center Processors

Where are the Humans in Human-AI Interaction: The Missing Human-Centered Perspective on Interpretability Tools for Machine Learning

A Statistical Approach to Stochastic Computing Design and Analysis

Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation

Overcoming the Performance and Security Challenges of Building Highly-Distributed Fault-Tolerant Embedded Systems

Accelerated Systems for Portable DNA Sequencing

Characterizing Laser Signal Injection and its Impact on the Security of Cyber-Physical Systems

Crafting Machine Learning Defenses against Adversaries

Practical Memory Disaggregation