| 2026 | AAAI | Not All Tokens Are Meant to Be Forgotten. | Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu |
| 2026 | NSDI | Defeating Slow-and-Low Threats via Diffusion Model-based Generative Inference. | Seyed Mohammad Mehdi Mirnajafizadeh, Prashant Khanduri, DaeHun Nyang, Rhongho Jang |
| 2025 | ECAI | GeoSAM: Fine-Tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation. | Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu |
| 2025 | ECAI | Automatic Calibration for Membership Inference Attack on Large Language Models. | Saleh Zare Zade, Yao Qiang, Xiangyu Zhou, Hui Zhu, Mohammad Amin Roshani, Prashant Khanduri, Dongxiao Zhu |
| 2025 | IJCCI | A Surrogate-Assisted Co-Evolutionary Framework for Bilevel Optimization. | Sanup Araballi, Venkata Gandikota, Pranay Sharma, Prashant Khanduri, Chilukuri K. Mohan |
| 2025 | IJCNN | Interpretability-Aware Vision Transformer. | Yao Qiang, Chengyin Li, Hui Zhu, Prashant Khanduri, Dongxiao Zhu |
| 2025 | WACV | AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation. | Chengyin Li, Rafi Ibn Sultan, Prashant Khanduri, Yao Qiang, Chetty J. Indrin, Dongxiao Zhu |
| 2025 | WACV | MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training. | Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Chetty J. Indrin, Kundan Thind, Dongxiao Zhu |
| 2024 | CCS | Byzantine-Robust Decentralized Federated Learning. | Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Gong |
| 2024 | ECCV | Fairness-Aware Vision Transformer via Debiased Self-Attention. | Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu |
| 2024 | ICML | Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. | Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu |
| 2023 | ACSSC | FedAvg for Minimizing Polyak-Łojasiewicz Objectives: The Interpolation Regime. | Shruti M., Prashant Khanduri, B. N. Bharath |
| 2023 | ICASSP | An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation. | Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong |
| 2023 | ICML | Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. | Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong |
| 2023 | ICML | Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning. | Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu |
| 2023 | ICML | FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks. | Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong |
| 2023 | INFOCOM | DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization. | Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck |
| 2023 | MICCAI | FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. | Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu |
| 2022 | ICASSP | An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems. | Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong |
| 2022 | ICLR | Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach. | Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu |
| 2022 | ICML | Anarchic Federated Learning. | Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu |
| 2022 | ICML | Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. | Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu |
| 2022 | MOBIHOC | INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. | Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu |
| 2021 | ACSSC | On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit. | Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci, Pramod K. Varshney |
| 2020 | ICASSP | On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines. | Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney |
| 2019 | ACSSC | Distributed Sequential Hypothesis Testing with Dependent Sensor Observations. | Shan Zhang, Prashant Khanduri, Pramod K. Varshney |
| 2018 | FUSION | Online Design of Precoders for High Dimensional Signal Detection in Wireless Sensor Networks. | Prashant Khanduri, Lakshmi Narasimhan Theagarajan, Pramod K. Varshney |
| 2018 | ICASSP | On Sequential Random Distortion Testing of Non-Stationary Processes. | Prashant Khanduri, Dominique Pastor, Vinod Sharma, Pramod K. Varshney |
| 2017 | ICASSP | A unified diversity measure for distributed inference. | Prashant Khanduri, Aditya Vempaty, Pramod K. Varshney |
| 2014 | GLOBECOM | Coverage analysis and training optimization for uplink cellular networks with practical channel estimation. | Prashant Khanduri, Bettagere Nagaraja Bharath, Chandra R. Murthy |