EdgeCentric: Anomaly Detection in Edge-Attributed Networks. - Neil Shah; Alex Beutel; Bryan Hooi; Leman Akoglu; Stephan Günnemann; Disha Makhija; Mohit Kumar 008; Christos Faloutsos (ICDM Workshops, 2016)

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. - Bryan Hooi; Neil Shah; Alex Beutel; Stephan Günnemann; Leman Akoglu; Mohit Kumar 008; Disha Makhija; Christos Faloutsos (SDM, 2016)

FairJudge: Trustworthy User Prediction in Rating Platforms. - Srijan Kumar; Bryan Hooi; Disha Makhija; Mohit Kumar 008; Christos Faloutsos; V. S. Subrahmanian (CoRR, 2017)

ZooBP: Belief Propagation for Heterogeneous Networks. - Dhivya Eswaran; Stephan Günnemann; Christos Faloutsos; Disha Makhija; Mohit Kumar 008 (Proc. VLDB Endow., 2017)

REV2: Fraudulent User Prediction in Rating Platforms. - Srijan Kumar; Bryan Hooi; Disha Makhija; Mohit Kumar 008; Christos Faloutsos; V. S. Subrahmanian (WSDM, 2018)

Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model. - Avirup Saha; Shreyas Sheshadri; Samik Datta; Niloy Ganguly; Disha Makhija; Priyank Patel (IJCAI, 2020)

Audience Creation for Consumables - Simple and Scalable Precision Merchandising for a Growing Marketplace. - Shreyas Sheshadri; Harsh Maheshwari; Avijit Saha; Samik Datta; Shashank Jain; Disha Makhija; Anuj Nagpal; Sneha Shukla; Suyash S (CoRR, 2020)

Architecture Agnostic Federated Learning for Neural Networks. - Disha Makhija; Xing Han; Nhat Ho; Joydeep Ghosh (ICML, 2022)

Federated Self-supervised Learning for Heterogeneous Clients. - Disha Makhija; Nhat Ho; Joydeep Ghosh (CoRR, 2022)

Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. - Disha Makhija; Joydeep Ghosh; Nhat Ho (CoRR, 2023)

A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings. - Disha Makhija; Joydeep Ghosh; Nhat Ho (NeurIPS, 2024)

Federated Learning for Estimating Heterogeneous Treatment Effects. - Disha Makhija; Joydeep Ghosh; Yejin Kim 001 (CoRR, 2024)

Achieving Fairness Across Local and Global Models in Federated Learning. - Disha Makhija; Xing Han; Joydeep Ghosh; Yejin Kim 001 (CoRR, 2024)