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20112026
most citedOn the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

280 citations · 1.4k across the 75 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

VEPA: Verified Evolving Formal Policy for Lifelong LLM Agent Guardrails

Duy Nguyen, Lesly Miculicich, Bhavana Dalvi Mishra +5

LLM agents increasingly operate over sensitive resources, such as private documents and mutable system states, which can create serious safety and security risks. Runtime guardrail…

cs.AI2026

SpecGuard: Proving a Task Is Broken Before the Agent Cheats

Param Biyani, Krishnamurthy Dvijotham

As autonomous coding agents get increasingly deployed, the risk that accidental or adversarially injected misspecifications in tasks lead to dangerous agent behavior is critical to…

cs.AI2023

Efficient Symbolic Reasoning for Neural-Network Verification

Zi Wang, Somesh Jha, Krishnamurthy +1

The neural network has become an integral part of modern software systems. However, they still suffer from various problems, in particular, vulnerability to adversarial attacks. In…

cs.AI2021

Role of Human-AI Interaction in Selective Prediction

Elizabeth Bondi, Raphael Koster, Hannah Sheahan +5

Recent work has shown the potential benefit of selective prediction systems that can learn to defer to a human when the predictions of the AI are unreliable, particularly to improv…

cs.AI2018★ 275 cited

Safe Exploration in Continuous Action Spaces

Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerik +3

We address the problem of deploying a reinforcement learning (RL) agent on a physical system such as a datacenter cooling unit or robot, where critical constraints must never be vi…