| 2026 | WWW | ARC: A Tool to Rate AI Models for Robustness Through a Causal Lens for Enabling Trustworthy Model Selection. | Kausik Lakkaraju, Siva Likitha Valluru, Biplav Srivastava, Marco Valtorta |
| 2025 | ICDM | Promoting Nutrition Adherence with Convenience Using Group Recommendations and Multimodal Food Reasoning - Initial Results. | Nitin Gupta, Biplav Srivastava, Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Zach Abdulrahman, Andrew Davison |
| 2024 | AAAI | 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 |
| 2024 | COMAD | 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 |
| 2022 | DSN | IoT Phantom-Delay Attacks: Demystifying and Exploiting IoT Timeout Behaviors. | Chenglong Fu, Qiang Zeng, Haotian Chi, Xiaojiang Du, Siva Likitha Valluru |
| 2022 | ICDM | 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 |
| 2021 | RAID | SniffMislead: Non-Intrusive Privacy Protection against Wireless Packet Sniffers in Smart Homes. | Xuanyu Liu, Qiang Zeng, Xiaojiang Du, Siva Likitha Valluru, Chenglong Fu, Xiao Fu, Bin Luo |