Nandish Chattopadhyay

Orcid: 0000-0002-1611-9378

According to our database1, Nandish Chattopadhyay authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
TravellingFL: Communication Efficient Peer-to-Peer Federated Learning.
IEEE Trans. Veh. Technol., April, 2024

Adversarial Attacks and Dimensionality in Text Classifiers.
CoRR, 2024

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks.
CoRR, 2024

Defending against Adversarial Patches using Dimensionality Reduction.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Robust AI: security and privacy issues in machine learning
PhD thesis, 2023

DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction.
CoRR, 2023

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches.
CoRR, 2023

2022
Robust Perception for Autonomous Vehicles using Dimensionality Reduction.
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.
Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2022

ROFL: RObust privacy preserving Federated Learning.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

TextBack: Watermarking Text Classifiers using Backdooring.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021
Robustness Against Adversarial Attacks Using Dimensionality.
Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2021

ROWBACK: RObust Watermarking for neural networks using BACKdoors.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Spatially Correlated Patterns in Adversarial Images.
CoRR, 2020

Re-markable: Stealing Watermarked Neural Networks Through Synthesis.
Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2020

Deploy-able Privacy Preserving Collaborative ML.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019
Curse of Dimensionality in Adversarial Examples.
Proceedings of the International Joint Conference on Neural Networks, 2019


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