Curse of Dimensionality in Adversarial Examples. - Nandish Chattopadhyay; Anupam Chattopadhyay; Sourav Sen Gupta 001; Michael Kasper (IJCNN, 2019)

Deploy-able Privacy Preserving Collaborative ML. - Nandish Chattopadhyay; Ritabrata Maiti; Anupam Chattopadhyay (ICDCS, 2020)

Re-markable: Stealing Watermarked Neural Networks Through Synthesis. - Nandish Chattopadhyay; Chua Sheng Yang Viroy; Anupam Chattopadhyay (SPACE, 2020)

Spatially Correlated Patterns in Adversarial Images. - Nandish Chattopadhyay; Lionell Yip En Zhi; Bryan Tan Bing Xing; Anupam Chattopadhyay (CoRR, 2020)

ROWBACK: RObust Watermarking for neural networks using BACKdoors. - Nandish Chattopadhyay; Anupam Chattopadhyay (ICMLA, 2021)

Robustness Against Adversarial Attacks Using Dimensionality. - Nandish Chattopadhyay; Subhrojyoti Chatterjee; Anupam Chattopadhyay (SPACE, 2021)

TextBack: Watermarking Text Classifiers using Backdooring. - Nandish Chattopadhyay; Rajan Kataria; Anupam Chattopadhyay (DSD, 2022)

ROFL: RObust privacy preserving Federated Learning. - Nandish Chattopadhyay; Arpit Singh; Anupam Chattopadhyay (ICDCS Workshops, 2022)

How Many Cameras Do You Need? Adversarial Attacks and Countermeasures for Robust Perception in Autonomous Vehicles. - Tu Anh Ngo; Reuben Jon Chia; Jonathan Chan Chew Meng; Nandish Chattopadhyay; Anupam Chattopadhyay (SPACE, 2022)

Robust Perception for Autonomous Vehicles using Dimensionality Reduction. - Shivam Garg; Nandish Chattopadhyay; Anupam Chattopadhyay (TrustCom, 2022)

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2023)

Robust AI: security and privacy issues in machine learning - Nandish Chattopadhyay (2023)

Defending against Adversarial Patches using Dimensionality Reduction. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique 001 (DAC, 2024)

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. - Nandish Chattopadhyay; Amira Guesmi; Muhammad Shafique 001 (ICIP, 2024)

BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks - Official Work-in-Progress Paper. - Yi Hao Puah; Tu Anh Ngo; Nandish Chattopadhyay; Anupam Chattopadhyay (SPACE, 2024)

Adversarial Attacks and Dimensionality in Text Classifiers. - Nandish Chattopadhyay; Atreya Goswami; Anupam Chattopadhyay (CoRR, 2024)

BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks. - Yi Hao Puah; Tu Anh Ngo; Nandish Chattopadhyay; Anupam Chattopadhyay (CoRR, 2024)

TravellingFL: Communication Efficient Peer-to-Peer Federated Learning. - Vansh Gupta; Alka Luqman; Nandish Chattopadhyay; Anupam Chattopadhyay; Dusit Niyato (IEEE Trans. Veh. Technol., 2024)

Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects. - Muhammad Abdullah Hanif; Nandish Chattopadhyay; Bassem Ouni; Muhammad Shafique 001 (IEEE Access, 2025)

Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation. - Tu Anh Ngo; Chuan Song Heng; Nandish Chattopadhyay; Anupam Chattopadhyay (CoRR, 2025)

Learning Nonlinearity of Boolean Functions: An Experimentation with Neural Networks. - Sriram Ranga; Nandish Chattopadhyay; Anupam Chattopadhyay (CoRR, 2025)

A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges. - Nandish Chattopadhyay; Abdul Basit; Bassem Ouni; Muhammad Shafique 001 (CoRR, 2025)