Aniruddha Saha


Postdoctoral Associate at University of Maryland

Iribe Center 5124

anisaha1 [at]


I am currently a Postdoctoral Associate with the Center for Machine Learning (CML) in the University of Maryland Institute for Advanced Computer Studies (UMIACS). I work under the supervision of Tom Goldstein.

I received my PhD in Computer Science at University of Maryland, Baltimore County. I was advised by Hamed Pirsiavash. In my dissertation, I studied ways in which state-of-the-art deep learning methods for computer vision are vulnerable to backdoor attacks and proposed defense methods to remedy the vulnerabilities.

During my PhD, I have worked as a Machine Learning Research Intern at Bosch Center for AI, 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 of Samsung Semiconductor India Research.

My hobbies include photography, writing, playing football and chess. I support Manchester United FC.


Complete list on Google Scholar.

Backdoor Attacks on Self-Supervised Learning Paper Code

Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

CVPR 2022 Oral

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)

Academic Service - Reviewer

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