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Nandish Chattopadhyay
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Year
Curse of dimensionality in adversarial examples
N Chattopadhyay, A Chattopadhyay, SS Gupta, M Kasper
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
312019
Robustness against adversarial attacks using dimensionality
N Chattopadhyay, S Chatterjee, A Chattopadhyay
International Conference on Security, Privacy, and Applied Cryptography …, 2021
232021
Travellingfl: Communication efficient peer-to-peer federated learning
V Gupta, A Luqman, N Chattopadhyay, A Chattopadhyay, D Niyato
IEEE Transactions on Vehicular Technology 73 (4), 5005-5019, 2023
182023
Re-markable: Stealing watermarked neural networks through synthesis
N Chattopadhyay, CSY Viroy, A Chattopadhyay
International Conference on Security, Privacy, and Applied Cryptography …, 2020
102020
ROWBACK: RObust Watermarking for neural networks using BACKdoors
N Chattopadhyay, A Chattopadhyay
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
82021
Oddr: Outlier detection & dimension reduction based defense against adversarial patches
N Chattopadhyay, A Guesmi, MA Hanif, B Ouni, M Shafique
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025
62025
Anomaly unveiled: Securing image classification against adversarial patch attacks
N Chattopadhyay, A Guesmi, M Shafique
2024 IEEE International Conference on Image Processing (ICIP), 929-935, 2024
62024
Deploy-able privacy preserving collaborative ml
N Chattopadhyay, R Maiti, A Chattopadhyay
2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020
52020
Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects
MA Hanif, N Chattopadhyay, B Ouni, M Shafique
IEEE Access, 2025
42025
DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction
N Chattopadhyay, A Guesmi, MA Hanif, B Ouni, M Shafique
arXiv preprint arXiv:2311.12211, 2023
42023
Robust Perception for Autonomous Vehicles using Dimensionality Reduction
S Garg, N Chattopadhyay, A Chattopadhyay
2022 IEEE International Conference on Trust, Security and Privacy in …, 2022
42022
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
N Chattopadhyay, A Basit, B Ouni, M Shafique
arXiv preprint arXiv:2503.00384, 2025
32025
Defending against Adversarial Patches using Dimensionality Reduction
N Chattopadhyay, A Guesmi, MA Hanif, B Ouni, M Shafique
Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024
32024
Adversarial Attacks and Dimensionality in Text Classifiers
N Chattopadhyay, A Goswami, A Chattopadhyay
arXiv preprint arXiv:2404.02660, 2024
32024
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
AT Ngo, CS Heng, N Chattopadhyay, A Chattopadhyay
IEEE Transactions on Neural Networks and Learning Systems, 2025
22025
How Many Cameras Do You Need? Adversarial Attacks and Countermeasures for Robust Perception in Autonomous Vehicles
TA Ngo, RJ Chia, J Chan, N Chattopadhyay, A Chattopadhyay
International Conference on Security, Privacy, and Applied Cryptography …, 2022
22022
Spatially Correlated Patterns in Adversarial Images
N Chattopadhyay, LYE Zhi, BTB Xing, A Chattopadhyay
arXiv preprint arXiv:2011.10794, 2020
22020
Investigating Spatially Correlated Patterns in Adversarial Images
N Chattopadhyay, LYE Zhi, BT Xing, A Chattopadhyay, M Shafique
2024 IEEE International Conference on Image Processing Challenges and …, 2024
12024
Methods and systems for watermarking neural networks
N Chattopadhyay, A Chattopadhyay
US Patent 12,050,671, 2024
12024
Robust AI: security and privacy issues in machine learning
N Chattopadhyay
Nanyang Technological University, 2023
12023
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Articles 1–20