papers

Publications (7)

eess.SY2014

Scalable and Anonymous Modeling of Large Populations of Flexible Appliances

Mahnoosh Alizadeh, Anna Scaglione, Andy Applebaum +2

To respond to volatility and congestion in the power grid, demand response (DR) mechanisms allow for shaping the load compared to a base load profile. When tapping on a large popul…

cs.LG2026

EVMbench: Evaluating AI Agents on Smart Contract Security

Justin Wang, Andreas Bigger, Xiaohai Xu +5

Smart contracts on public blockchains now manage large amounts of value, and vulnerabilities in these systems can lead to substantial losses. As AI agents become more capable at re…

cs.CR2021

Towards Causal Models for Adversary Distractions

Ron Alford, Andy Applebaum

Automated adversary emulation is becoming an indispensable tool of network security operators in testing and evaluating their cyber defenses. At the same time, it has exposed how q…

cs.LG2022

Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies

Melody Wolk, Andy Applebaum, Camron Dennler +8

Advancements in reinforcement learning (RL) have inspired new directions in intelligent automation of network defense. However, many of these advancements have either outpaced thei…

cs.CL2026

OpenAI GPT-5 System Card

Aaditya Singh, Adam Fry, Adam Perelman +483

This is the system card published alongside the OpenAI GPT-5 launch, August 2025. GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper reason…

cs.AI2026

OpenAI o1 System Card

OpenAI, :, Aaron Jaech +261

The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. These advanced reasoning capabilities provide new avenues for improving the…