Nandish Chattopadhyay

According to our database, Nandish Chattopadhyay authored at least 26 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

STRAP-ViT: Segregated Tokens with Randomized - Transformations for Defense against Adversarial Patches in ViTs.

Nandish Chattopadhyay, Anadi Goyal, Chandan Karfa, Anupam Chattopadhyay

CoRR, March, 2026

A Survey of Adversarial Defenses in Vision-Based Systems: Categorization, Methods, and Challenges.

Nandish Chattopadhyay, Abdul Basit, Bassem Ouni, Muhammad Shafique

IEEE Access, 2026

PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices.

Nandish Chattopadhyay, Abdul Basit, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

Persistence of Backdoor-Based Watermarks for Neural Networks: A Comprehensive Evaluation.

Tu Anh Ngo, Chuan Song Heng, Nandish Chattopadhyay, Anupam Chattopadhyay

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Learning Nonlinearity of Boolean Functions: An Experimentation with Neural Networks.

Sriram Ranga, Nandish Chattopadhyay, Anupam Chattopadhyay

CoRR, February, 2025

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

IEEE Access, 2025

Adversarial and Backdoor Threats in Autonomous-Vehicle and Embodied-AI Systems.

Muhammad Shafique, Muhammad Abdullah Hanif, Amira Guesmi, Nandish Chattopadhyay, Bassem Ouni

Proceedings of the 38th IEEE International System-on-Chip Conference, 2025

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches.

Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

TravellingFL: Communication Efficient Peer-to-Peer Federated Learning.

Vansh Gupta, Alka Luqman, Nandish Chattopadhyay, Anupam Chattopadhyay, Dusit Niyato

IEEE Trans. Veh. Technol., April, 2024

BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks.

Yi Hao Puah, Tu Anh Ngo, Nandish Chattopadhyay, Anupam Chattopadhyay

CoRR, 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 - Official Work-in-Progress Paper.

Yi Hao Puah, Tu Anh Ngo, Nandish Chattopadhyay, Anupam Chattopadhyay

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2024

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks.

Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique

Proceedings of the IEEE International Conference on Image Processing, 2024

Defending against Adversarial Patches using Dimensionality Reduction.

Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Robust AI: security and privacy issues in machine learning

Nandish Chattopadhyay

PhD thesis, 2023

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction.

Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique

CoRR, 2023

2022

Robust Perception for Autonomous Vehicles using Dimensionality Reduction.

Shivam Garg, Nandish Chattopadhyay, Anupam Chattopadhyay

Proceedings of the IEEE International Conference on Trust, 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

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2022

ROFL: RObust privacy preserving Federated Learning.

Nandish Chattopadhyay, Arpit Singh, Anupam Chattopadhyay

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

TextBack: Watermarking Text Classifiers using Backdooring.

Nandish Chattopadhyay, Rajan Kataria, Anupam Chattopadhyay

Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021

Robustness Against Adversarial Attacks Using Dimensionality.

Nandish Chattopadhyay, Subhrojyoti Chatterjee, Anupam Chattopadhyay

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2021

ROWBACK: RObust Watermarking for neural networks using BACKdoors.

Nandish Chattopadhyay, Anupam Chattopadhyay

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Spatially Correlated Patterns in Adversarial Images.

Nandish Chattopadhyay, Lionell Yip En Zhi, Bryan Tan Bing Xing, Anupam Chattopadhyay

CoRR, 2020

Re-markable: Stealing Watermarked Neural Networks Through Synthesis.

Nandish Chattopadhyay, Chua Sheng Yang Viroy, Anupam Chattopadhyay

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2020

Deploy-able Privacy Preserving Collaborative ML.

Nandish Chattopadhyay, Ritabrata Maiti, Anupam Chattopadhyay

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Curse of Dimensionality in Adversarial Examples.

Nandish Chattopadhyay, Anupam Chattopadhyay, Sourav Sen Gupta, Michael Kasper

Proceedings of the International Joint Conference on Neural Networks, 2019