Curating Semantic Linked Open Datasets for Software Engineering. - Kavi Mahesh; Aparna Nagarajan; Apoorva Rao Balevalachilu; Karthik Prasad (ISWC (Posters & Demos), 2013)

Antipodes of Label Differential Privacy: PATE and ALIBI. - Mani Malek Esmaeili; Ilya Mironov; Karthik Prasad; Igor Shilov; Florian Tramèr (NeurIPS, 2021)

Opacus: User-Friendly Differential Privacy Library in PyTorch. - Ashkan Yousefpour; Igor Shilov; Alexandre Sablayrolles; Davide Testuggine; Karthik Prasad; Mani Malek 001; John Nguyen; Sayan Ghosh; Akash Bharadwaj; Jessica Zhao; Graham Cormode; Ilya Mironov (CoRR, 2021)

Pruning Compact ConvNets for Efficient Inference. - Sayan Ghosh; Karthik Prasad; Xiaoliang Dai; Peizhao Zhang; Bichen Wu; Graham Cormode; Peter Vajda (CoRR, 2023)

Reconciling Security and Communication Efficiency in Federated Learning. - Karthik Prasad; Sayan Ghosh; Graham Cormode; Ilya Mironov; Ashkan Yousefpour; Pierre Stock (IEEE Data Eng. Bull., 2023)

ParamΔ for Direct Mixing: Post-Train Large Language Model At Zero Cost. - Sheng Cao; Mingrui Wu; Karthik Prasad; Yuandong Tian; Zechun Liu (ICLR, 2025)

ParamΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost. - Sheng Cao; Mingrui Wu; Karthik Prasad; Yuandong Tian; Zechun Liu (CoRR, 2025)