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20182026
most citedPop Quiz! Can a Large Language Model Help With Reverse Engineering?

13 citations · 46 across the 48 of their papers we have counts for

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12 papers · 1 filter

cs.CR2026

How Do LLM Agents Actually Get the Flag? Trace-Level Provenance for Agentic Offensive Security Evaluation

Kimberly Milner, Minghao Shao, Nanda Rani +8

Capture-the-Flag (CTF) benchmarks are widely used to assess the offensive security capabilities of autonomous language-model agents. Evaluations rely on shallow binary judgments or…

eess.SY2026

Learning Robust Control Lyapunov Functions through Lipschitz Neural Networks

Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami

This work presents a novel framework for learning robust control Lyapunov functions and stabilizing controllers for nonlinear dynamical systems subject to additive disturbances upp…

eess.SY2026

Sandbox-Enabled Digital Twin for Cyber-Physical Systems

Meet Udeshi, Md Raz, Prashanth Krishnamurthy +2

Firmware/software in cyber-physical system (CPS) embedded devices/controllers can have vulnerabilities stemming from multiple sources such as weak security practices, outdated libr…

cs.RO2026

VANDERER: Map-Free Exploration using Future-Aware and Visual-Curiosity-Guided Diffusion Policy

Venkata Naren Devarakonda, Raktim Gautam Goswami, Prashanth Krishnamurthy +1

Mobile agents require efficient exploration strategies to map unseen environments and autonomously plan tasks. Traditional methods rely on generating occupancy maps and optimizing…

cs.RO2026

Unifying Object-Centric World Models and Diffusion Policy: A Hierarchical Framework for Multi-Stage Robotic Tasks

Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun +1

Visual world models have shown great potential in learning complex system dynamics. Recent advancements leverage these models as transition functions within Model Predictive Contro…

cs.CR2026

Long-Term and Short-Term Transistor Aging in Deep Neural Networks: Impact and Mitigation

Alireza Sarmadi, Virinchi Roy Surabhi, Prashanth Krishnamurthy +3

Deep neural networks (DNNs) are used in a variety of real-world applications including, for example, image classification and speech recognition. The inference accuracy of DNN impl…