Aniruddha Saha

PhD Candidate at University of Maryland Baltimore County

anisaha1@umbc.edu

News
Bio

I am currently pursuing my PhD in Computer Science at University of Maryland Baltimore County advised by Hamed Pirsiavash. I am broadly interested in identifying and mitigating adversarial vulnerabilities in deep learning models.

My research has involved studying Backdoor Attacks in CNNs - curating attacks and building fast solutions to identify backdoors. I have also investigated how spatial context introduces vulnerabilities in fast object detectors like YOLO and how to train detectors robust to contextual adversarial patches.

I have worked as an Applied Scientist Intern at Amazon Rekognition and a Machine Learning Intern at Matroid.

Prior to this, I was a Software Engineer at Samsung Research Institute Bangalore, India where I was part of the DRAM Group in the Memory Team of Samsung Semiconductor India Research.

I also spend some time in photography, writing and playing chess. I am a big football fan and I support Manchester United FC.

Publications

Most recent publications on Google Scholar.

Role of Spatial Context in Adversarial Robustness for Object Detection Paper Slides Video Code

Aniruddha Saha*, Akshayvarun Subramanya*, Koninika Patil, Hamed Pirsiavash

CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision

*equal contribution

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs Paper Webpage Slides Video Code

Soheil Kolouri*, Aniruddha Saha*, Hamed Pirsiavash, Heiko Hoffmann

CVPR 2020 Oral

*equal contribution

Hidden Trigger Backdoor Attacks Paper Slides Poster Code

Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash

AAAI 2020 Oral

An Adaptive Foreground-Background Separation Method for Effective Binarization of Document Images Paper

Bishwadeep Das, Showmik Bhowmik, Aniruddha Saha, Ram Sarkar

Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)

Timeline
Academic Service - Reviewer
Acknowledgement

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