239 citations · 370 across the 7 of their papers we have counts for
7 papers
RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems
Yarin Yerushalmi Levi, Roy Betser, Amit Giloni +5
Agentic AI systems powered by large language models (LLMs) are rapidly evolving into autonomous decision-making systems, exposing attack vectors beyond those of traditional LLM vul…
AgenTRIM: Tool Risk Mitigation for Agentic AI
Roy Betser, Amit Giloni, Shamik Bose +4
AI agents are autonomous systems that combine LLMs with external tools to solve complex tasks. While such tools extend capability, improper tool permissions introduce security risk…
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
Sindhu Padakandla
Reinforcement learning (RL) algorithms find applications in inventory control, recommender systems, vehicular traffic management, cloud computing and robotics. The real-world compl…
Reinforcement Learning in Non-Stationary Environments
Sindhu Padakandla, Prabuchandran K. J, Shalabh Bhatnagar
Reinforcement learning (RL) methods learn optimal decisions in the presence of a stationary environment. However, the stationary assumption on the environment is very restrictive.…
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar
This paper presents our method for enabling a UAV quadrotor, equipped with a monocular camera, to autonomously avoid collisions with obstacles in unstructured and unknown indoor en…
Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach
Sandeep Kumar, Sindhu Padakandla, Chandrashekar L +3
Hadoop MapReduce is a framework for distributed storage and processing of large datasets that is quite popular in big data analytics. It has various configuration parameters (knobs…
Energy Sharing for Multiple Sensor Nodes with Finite Buffers
Sindhu Padakandla, Prabuchandran K. J, Shalabh Bhatnagar
We consider the problem of finding optimal energy sharing policies that maximize the network performance of a system comprising of multiple sensor nodes and a single energy harvest…