Dissertation Defenses

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

Exploiting App Differences for Security Analysis of Multi-Geo Mobile Ecosystems

Steerable AI-powered Art-making Tools

Secure and Safe Autonomous Driving: an Adversary’s Perspective

Enabling Practical Deployments of Privacy-Preserving Technologies

Sequential Decision Making for Large Scale Machine Learning

Efficient and Dependable Deep Learning Systems

Theory of Mind in Collaborative Tasks between Embodied Agents

Towards Generalizable Neural Networks for Graph Applications

Acceleration Techniques of Sparse Linear Algebra on Emerging Architectures

Building User-Driven Edge Devices

Optimizing Emerging Graph Applications Using Hardware-Software Co-Design

Efficient, Reconfigurable, and QoS-Aware Systems for Deep Neural Networks

Compiler Support for Robust and High Performance Autonomous Driving Environments

Securing Connected and Automated Vehicle through Proactive Vulnerability Analysis and Security Enhancement

In-SRAM Computing for Neural Network Acceleration

Automating the Verification of Distributed Systems

Bringing Practical Security to Vehicles

A Cognitive Architecture Realization of Event Cognition Capabilities