SniffMislead: Non-Intrusive Privacy Protection against Wireless Packet Sniffers in Smart Homes. - Xuanyu Liu; Qiang Zeng 001; Xiaojiang Du; Siva Likitha Valluru; Chenglong Fu 002; Xiao Fu 005; Bin Luo 003 (RAID, 2021)

IoT Phantom-Delay Attacks: Demystifying and Exploiting IoT Timeout Behaviors. - Chenglong Fu 002; Qiang Zeng 001; Haotian Chi; Xiaojiang Du; Siva Likitha Valluru (DSN, 2022)

ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls. - Biplav Srivastava; Tarmo Koppel; Sai Teja Paladi; Siva Likitha Valluru; Rohit Sharma; Owen Bond (ICDM (Workshops), 2022)

Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals. - Siva Likitha Valluru; Biplav Srivastava; Sai Teja Paladi; Siwen Yan; Sriraam Natarajan (AAAI, 2024)

ULTRA: Exploring Team Recommendations in Two Geographies Using Open Data in Response to Call for Proposals. - Siva Likitha Valluru; Michael Widener; Biplav Srivastava; Sugata Gangopadhyay (COMAD/CODS, 2024)

AI-assisted research collaboration with open data for fair and effective response to call for proposals. - Siva Likitha Valluru; Michael Widener; Biplav Srivastava; Sriraam Natarajan; Sugata Gangopadhyay (AI Mag., 2024)

BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes. - Vansh Nagpal; Siva Likitha Valluru; Kausik Lakkaraju; Biplav Srivastava (CoRR, 2024)

A Novel Approach to Balance Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes and its Implementation in BEACON. - Vansh Nagpal; Siva Likitha Valluru; Kausik Lakkaraju; Nitin Gupta; Zach Abdulrahman; Andrew Davison; Biplav Srivastava (CoRR, 2024)

On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. - Kausik Lakkaraju; Rachneet Kaur; Parisa Zehtabi; Sunandita Patra; Siva Likitha Valluru; Zhen Zeng; Biplav Srivastava; Marco Valtorta (CoRR, 2025)

Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making. - Kausik Lakkaraju; Siva Likitha Valluru; Biplav Srivastava (CoRR, 2025)