AMND  ·  Cybersecurity

🛡️  Adversarial ML & Network Defense Lab

Robustness of AI systems under adversarial perturbation, network intrusion detection, automated vulnerability discovery, and AI-powered threat intelligence.

Breakthrough · 1,000-Qubit Coherence AchievedCareers · 12 Postdoc Positions OpenAward · Best Paper IEEE S&P 2025Partnership · CERN CollaborationEvent · AI Safety Summit June 2025Grant · $18M NSF Award Green ComputingPublication · Nature Photonics All-Optical NNBreakthrough · 1,000-Qubit Coherence AchievedCareers · 12 Postdoc Positions OpenAward · Best Paper IEEE S&P 2025Partnership · CERN CollaborationEvent · AI Safety Summit June 2025Grant · $18M NSF Award Green ComputingPublication · Nature Photonics All-Optical NN

Mission & Focus

About the Laboratory

Robustness of AI systems under adversarial perturbation, network intrusion detection, automated vulnerability discovery, and AI-powered threat intelligence.

Active Projects

Current Research

Certified Robustness
Active · 2025
LLM Red-Teaming
Active · 2025
Network Anomaly Detection
Active · 2025
Autonomous Pen-Testing
Active · 2025

Research Team

Lab Members

P
Dr. Pei Zhao
Lab Director
RS
Dr. Senior Researcher
Research Scientist
PD
Dr. Postdoc Fellow
Postdoctoral Researcher
P1
PhD Candidate Alpha
PhD Student
P2
PhD Candidate Beta
PhD Student
RA
Research Assistant
MSc Student

Recent Publications

Selected Papers

Certified Robustness: A Comprehensive Study
Lead Author et al. · Top Venue 2025  ★ Best Paper
LLM Red-Teaming: Theory & Empirical Evaluation
Research Team · Flagship Journal 2025
Foundations of AMND: Survey and New Directions
Lab Members · Survey Paper 2024
Network Anomaly Detection: Experimental Results
Collaborative Work · Conference 2024
All Publications →
Join This Lab →