Area of research
Hardware and Architecture · Artificial Intelligence
Research interest
Research interests include Computer science, Embedded system, Artificial neural network, Backdoor, Pruning, and Reverse engineering.
VeriGen: A Large Language Model for Verilog Code Generation
Evaluating LLMs for Hardware Design and Test
SZKP: A Scalable Accelerator Architecture for Zero-Knowledge Proofs
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design
Benchmarking Large Language Models for Automated Verilog RTL Code Generation
Characterizing and Optimizing End-to-End Systems for Private Inference
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification
Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis
Feature Compression for Rate Constrained Object Detection on the Edge
ASSURE: RTL Locking Against an Untrusted Foundry
Fortifying RTL Locking Against Oracle-Less (Untrusted Foundry) and Oracle-Guided Attacks
Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots
Is Register Transfer Level Locking Secure?
BadNets: Evaluating Backdooring Attacks on Deep Neural Networks
Fault-Tolerant Systolic Array Based Accelerators for Deep Neural Network Execution
Building Robust Machine Learning Systems
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Learning Accelerators
TaintHLS: High-Level Synthesis for Dynamic Information Flow Tracking
TAO: Techniques for Algorithm-Level Obfuscation during High-Level Synthesis
Securing Hardware Accelerators: A New Challenge for High-Level Synthesis
Reverse engineering camouflaged sequential circuits without scan access
Seeded graph matching: Efficient algorithms and theoretical guarantees
Optimal checkpointing for secure intermittently-powered IoT devices
Computing in the Dark Silicon Era: Current Trends and Research Challenges