| 2026 | AAAI | Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models. | Md. Rafi Ur Rashid, Vishnu Asutosh Dasu, Ye Wang, Gang Tan, Shagufta Mehnaz |
| 2025 | ICCV | Improving Noise Efficiency in Privacy-Preserving Dataset Distillation. | Runkai Zheng, Vishnu Asutosh Dasu, Yinong Oliver Wang, Haohan Wang, Fernando De la Torre |
| 2025 | NDSS | Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models. | Aydin Abadi, Vishnu Asutosh Dasu, Sumanta Sarkar |
| 2025 | SP | Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models. | Alireza Aghabagherloo, Aydin Abadi, Sumanta Sarkar, Vishnu Asutosh Dasu, Bart Preneel |
| 2024 | ISSTA | NeuFair: Neural Network Fairness Repair with Dropout. | Vishnu Asutosh Dasu, Ashish Kumar, Saeid Tizpaz-Niari, Gang Tan |
| 2022 | CCS | PROV-FL: Privacy-preserving Round Optimal Verifiable Federated Learning. | Vishnu Asutosh Dasu, Sumanta Sarkar, Kalikinkar Mandal |
| 2021 | ACNS | POSTER: Another Look at Boyar-Peralta's Algorithm. | Anubhab Baksi, Banashri Karmakar, Vishnu Asutosh Dasu |
| 2021 | ACNS | POSTER: Optimizing Device Implementation of Linear Layers with Automated Tools. | Anubhab Baksi, Banashri Karmakar, Vishnu Asutosh Dasu |
| 2021 | INDOCRYPT | Three Input Exclusive-OR Gate Support for Boyar-Peralta's Algorithm. | Anubhab Baksi, Vishnu Asutosh Dasu, Banashri Karmakar, Anupam Chattopadhyay, Takanori Isobe |