Hi, I am Amrita Roy Chowdhury. I am a CRA/CCC Computing Innovation postdoctoral fellow at the University of California, San Diego and my advisor is Prof. Kamalika Chaudhuri. I recently completed my PhD from the University of Wisconsin-Madison under Prof. Somesh Jha. Before that, I obtained my Bachelor of Engineering in Computer Science from the Indian Institute of Engineering Science and Technology, Shibpur where I was awarded the President of India Gold Medal.
My research explores the synergy between differential privacy and cryptography through novel algorithms that expose the rich interconnections between the two areas, both in theory and practice.
Aug 22: I will be giving a talk at UC Berkeley AI4ALL.
July 22: Our work on strengthening order preserving encryption with differential privacy will be appearing at CCS, 2022.
May 22: I will be serving on the program committee for the first ever IEEE Conference on Secure and Trustworthy Machine Learning (IEEE SatML, 2023). Submit all your best work!
Apr. 22: I will be serving on the program committee for ICDE, 2023.
Jan 22: Our work on the privacy implications of shuffling will be appearing at ICLR, 2022.
Dec 21: I will be serving on the program committee for CCS, 2022.
Nov 21: I have been selected for UChicago Rising Stars in Data Science.
Oct 21: I have been selected for Rising Stars in EECS, MIT.
Oct 21: I will be serving on the program committee for PPAI, 2022.
May 21: I will be serving on the program committee for USENIX Security, 2022.
May 21: I will be serving on the program committee for TPDP. Please submit all your awesome work!
Apr. 21: Honored to be selected as a finalist for the Facebook Fellowship, 2021 (top 3.5% out of over 2000 students worldwide).
Apr. 21: I will be interning at Facebook AI Research, NYC under Laurens Van der Maaten.
Feb. 21: Our work on eTAP, a privacy-enhancing trigger-action-platform, will be appearing at IEEE S&P, 2021.
Oct. 20: Selected for Rising Stars in EECS, UC Berkeley.
Oct. 20: I will be giving a talk to the Cryptography Group at MSR, Redmond.
Sept. 20: Our work on Kalεido, a system for real-time privacy-preserving processing of eye-tracking data, will be appearing at USENIX Security, 2021.
Strengthening Order Preserving Encryption with Differential Privacy, Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou, CCS 2022
Data Privacy in Trigger-Action IoT Systems, Yunang Chen, Amrita Roy Chowdhury, Ruizhe Wang, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes, IEEE S&P 2021
Kalεido: Real-Time Privacy Control for Eye-Tracking Systems", Jingjie Li, Amrita Roy Chowdhury, Younghyun Kim, Kassem Fawaz, USENIX Security 2021
Cryptε: Crypto-Assisted Differential Privacy on Untrusted Servers, Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha, SIGMOD 2020
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models, Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha, ICML 2020
Concise Explanations of Neural Networks using Adversarial Training, Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Somesh Jha, Xi Wu, ICML 2020
Prεεch: A System for Privacy-Preserving Speech Transcription, Shimaa Ahmed, Amrita Roy Chowdhury, Kassem Fawaz, Parmeswaran Ramanathan, USENIX Security 2020
PPU: Privacy-Aware Purchasing Unit for Residential Customers in Smart Electric Grids, Amrita Roy Chowdhury, Parmeswaran Ramanathan, VLSI Design 2018
LMAC: A Lightweight Message Authentication Code for Wireless Sensor Network, Amrita Roy Chowdhury, Sipra DasBit, IEEE GLOBECOM 2015
LOCHA: A Light-Weight One-way Cryptographic Hash Algorithm for Wireless Sensor Network, Amrita Roy Chowdhury, Tanusree Chatterjee, Sipra DasBit, ANT 2014
Other Peer-Reviewed Publications
Strengthening Order Preserving Encryption with Differential Privacy, Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiram Liu, Zingren Zhou, TPDP Workshop, ICML '22
Robust Locally Differentially Private Graph Analysis, Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri, TPDP Workshop, ICML '22
A Shuffling Framework for Local Differential Privacy, Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha , TPDP Workshop, ICML '21 and PPML Workshop, CCS '21
Local Inferential Privacy through Data Shuffling, Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha, SoCal ML & NLP Symposium '21
Cryptε: Crypto-Assisted Differential Privacy on Untrusted Servers, Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha, PriML Workshop, NeurIPS '19
5 completely unsolicited facts about me --
If Ι were to describe myself and my work in a single sentence, I would say "I am indistinguishable from an anthropomorphic squirrel, who has humbugged her way into the Bluε Stockings Sociεty, for a PPT adversary."
I have an inordinate and perfervid predilection for circumlocutory and highfalutin verbiage. QED.
I would be well-disposed to having a dispassionate disquisition on whether to pet a Portuguese man o' war or a Porpita porpita at 3:07 am in the morning.
I would feature in the Forbes Billionaires List if the unit of currency were Scoville heat units consumed.
I would tell you all about my thoughts on "Why we should care for the Encephalartos woodii?", but I'm afraid I have exhausted my privacy budget.