NESD: New England Security Day

Detailed Schedule

📅 March 27, 2026 | UMass Amherst — CSL E144 & Atrium

9:00 AM – 10:00 AM	Registration & Breakfast
10:00 AM – 10:15 AM	Opening Remarks
10:15 AM – 11:00 AM	Keynote: Exploring New Frontiers in Hardware and Systems Security — Dr. Qiaoyan Yu (NSF SaTC Program Director, CISE/CNS)
11:00 AM – 12:30 PM	Session 1: Systems, Networks & Cryptography
12:30 PM – 2:00 PM	Lunch
1:00 PM – 2:00 PM	Poster Session
2:00 PM – 3:00 PM	Session 2: Hardware Security & Side-Channel Attacks
3:00 PM – 4:00 PM	Session 3: Adversarial Machine Learning & AI Security
4:00 PM – 4:15 PM	Closing Remarks
4:15 PM – 5:15 PM	Reception (Optional Poster Discussion)

🍽️ Food & Refreshments

🥐 Breakfast

Provided during registration (9:00 – 10:00 AM)

🥗 Lunch

Provided from 12:30 PM

☕ Light Refreshments

Provided during reception

Session 1 (11:00 AM – 12:30 PM): Systems, Networks & Cryptography

#	Speaker	Title
1	Ben Weintraub	Exploiting Temporal Vulnerabilities for Unauthorized Access in Intent-Based Networking
2	Giannis Kaklamanis	Verifiable Aggregate Receipts with Applications to User Engagement Auditing
3	Amna Gillani	Covert Routing in Heterogeneous Wireless Networks with Friendly Jamming
4	Trevor Thomas	Improving Quantum Conference Key Agreement over Networks
5	Sage Pia	Oblivious Single Access Machines
6	Amey Shukla	Sample-then-Correct: How to Amplify Fuzzy Extraction for Biometrics and Other Noisy Data

Session 2 (2:00 PM – 3:00 PM): Hardware Security & Side-Channel Attacks

#	Speaker	Title
1	Haowen Xu	Electromagnetic (EM) Side-Channel Attacks on Modern Systems
2	Chandra Sekhar Mummidi	Exploiting BRAM Data Remanence for Cross-Tenant Attacks
3	Muhammad Faheemur Rahman	3D Stacked Memristive Crossbars for Model Confidentiality in Analog In-Memory Computing
4	Neophytos Christou	Eclipse: Preventing Speculative Memory-error Abuse with Artificial Data Dependencies

Session 3 (3:00 PM – 4:00 PM): Adversarial Machine Learning & AI Security

#	Speaker	Title
1	Ethan Rathbun	How to Backdoor Reinforcement Learning
2	Georgios Syros	Toward Automated Holistic Red-Teaming of Web Agents
3	Tushin Mallick	Planning as Policy: Securing Agents against Untrusted Tools
4	Aayushi Verma	Busting the Paper Ballot: Voting Meets Adversarial Machine Learning
5	Subek Acharya	Evaluating Black Box Adversarial Robustness of ML Models in Election Systems

Poster Session (1:00 PM – 2:00 PM and afternoon reception)

Automated Access Control Policy Generation Using LLMs
Measuring the Risk of Exposed Configurations in Serverless Environment
SATELLES: Secure RISC-V SoC Architecture for Implantable Neurostimulators
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
US Coast Guard Academy (USCGA1) eCTF 2026
PrivLess: Over-privilege Analysis of Security Policies in Serverless Cloud Applications
PainNOVA: Privacy-Aware Voice-Based Pain-Level Detection
CensorLab: A Testbed for Censorship Experiments
Privacy Leakage in In-Sensor Computing (ISC) Systems
On the Numerical Instability of Fine-Tuning Language Models in Secure Multi-Party Computation
CTng: Next Generation Public Key Infrastructure
3D/N-tier Stacked Memristive Crossbars for Model Confidentiality in Analog In-Memory Computing
TBRD: Tesla Authenticated Broadcast Remote ID
Security Analysis of LTE Connectivity in Connected Cars: A Case Study of Tesla
Analyzing Physical Adversarial Example Threats to Machine Learning in Election Systems
Affordable Censorship Bypass System Using Serverless Functions

A day for security research in New England.