2 citations · 3 across the 9 of their papers we have counts for
10 papers
CWE-bench: Refocusing Agentic Security from Exploitation to Defense
Gonzalo Gonzalez-Pumariega, Ajay Jagannath, Adit Jain +3
Cybersecurity evaluations of AI agents have focused largely on offense, yet a working exploit does not show that an agent can make software safe. An attacker needs to exploit only…
: Benchmarking AI Agents for Long-Term Planning and Consistent Execution
Muyu He, Adit Jain, Anand Kumar +4
As LLM agents tackle increasingly complex tasks, a critical question is whether they can maintain strategic coherence over long horizons: planning under uncertainty, learning from…
Collaborative QA using Interacting LLMs. Impact of Network Structure, Node Capability and Distributed Data
Adit Jain, Vikram Krishnamurthy, Yiming Zhang
In this paper, we model and analyze how a network of interacting LLMs performs collaborative question-answering (CQA) in order to estimate a ground truth given a distributed set of…
Asymmetric Network Games: -Potential Function and Learning
Kiran Rokade, Adit Jain, Francesca Parise +2
In a network game, players interact over a network and the utility of each player depends on his own action and on an aggregate of his neighbours' actions. Many real world networks…
Information Diffusion and Preferential Attachment in a Network of Large Language Models
Adit Jain, Vikram Krishnamurthy, Yiming Zhang
This paper models information diffusion in a network of Large Language Models (LLMs) that is designed to answer queries from distributed datasets, where the LLMs can hallucinate th…
Interacting Large Language Model Agents. Interpretable Models and Social Learning
Adit Jain, Vikram Krishnamurthy
This paper discusses the theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. While both f…
Sparse Linear Bandits with Blocking Constraints
Adit Jain, Soumyabrata Pal, Sunav Choudhary +3
We investigate the high-dimensional sparse linear bandits problem in a data-poor regime where the time horizon is much smaller than the ambient dimension and number of arms. We stu…
Identifying Hate Speech Peddlers in Online Platforms. A Bayesian Social Learning Approach for Large Language Model Driven Decision-Makers
Adit Jain, Vikram Krishnamurthy
This paper studies the problem of autonomous agents performing Bayesian social learning for sequential detection when the observations of the state belong to a high-dimensional spa…
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization
Adit Jain, Vikram Krishnamurthy
This paper studies how a stochastic gradient algorithm (SG) can be controlled to hide the estimate of the local stationary point from an eavesdropper. Such problems are of signific…
Controlling Federated Learning for Covertness
Adit Jain, Vikram Krishnamurthy
A learner aims to minimize a function by repeatedly querying a distributed oracle that provides noisy gradient evaluations. At the same time, the learner seeks to hide $\arg\mi…