Congratulations Amrita Roy Chowdhury (2015, CST)

Congratulations Amrita Roy Chowdhury (2015, CST)
for your outstanding results and contributions as a student, during your Doctoral and Postdoctoral studies.

Our Sahityika Editorial Team congratulates our alumnus Amrita Roy Chowdhury (2015, CST) for her outstanding results and contributions as a student, during her doctoral and postdoctoral studies. Till recently, she was a CRA/CCC Computing Innovation postdoctoral fellow at the University of California, San Diego and her advisor was Prof. Kamalika Chaudhuri. She completed her PhD from the University of Wisconsin-Madison under Prof. Somesh Jha. Before that, as a Bachelor of Engineering in Computer Science from the Indian Institute of Engineering Science and Technology, Shibpur she was awarded the President of India Gold Medal.
Now she will be joining the University of Michigan, Ann Arbor, as an Assistant Professor in Fall 2024.

It would be nice to share her resume (partial):
https://drive.google.com/…/19schEf2pApM0AFhssA…/view…

Recent News
May 24: FairProof won the best paper award at the Private ML@ICLR’24 workshop.
May 24: Our work FairProof on confidential and certifiable fairness of ML models will be presented at ICML ’24.
Dec 23: Our work on prompt sanitization for LLMs will be presented at PPAI ’24.
Nov 23: I will be giving a talk at the security seminar at UPenn.
Nov 23: I will be giving a talk at the Naval Postgraduate School.
Oct 23: I will be serving on the program committee for SaTML’24 and EuroS&P’24.
Oct 23: I will be giving a talk at the EnCORE Institute student social.
Sept 23: Check out our white paper on the security risks of GenAI based on the discussions from our workshop!
Sept 23: I will be a panelist for the Rising Stars in Data Science information session.
Aug 23: I will be an Area Chair for WebConf’24.
July 23: I will be giving a talk at the PriSec-ML seminar.
June 23: I helped organize the GenAI Risks Workshop. Stay tuned for some exciting updates!

Preprints
1. Metric Differential Privacy at the User-Level, Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri
2. On the Reliability of Membership Inference Attacks, Amrita Roy Chowdhury*, Zhifeng Kong*, Kamalika Chaudhuri, *Equal Contribution, Code
3. Robustness of Locally Differentially Private Graph Analysis Against Poisoning, Amrita Roy Chowdhury*, Jacob Imola*, Kamalika Chaudhuri, *Equal Contribution
4. Per User Histogram in the Shuffle Model of Differential Privacy, Amrita Roy Chowdhury*, Jacob Imola*, Aashish Kolluri*, *Equal Contribution

Conference Publications
1. FairProof: Confidential and Certifiable Fairness for Neural Networks, Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri, ICML 2024, Best Paper at Privacy-ICLR ’24
2. ShadowNet: A Secure and Efficient System for On-device Model Inference, Zhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury, Somesh Jha, Long Lu, IEEE S&P 2023, Talk, Code
3. EIFFeL: Ensuring Integrity for Federated Learning, Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten, CCS 2022, Best Poster at ITA ’23
4. Strengthening Order Preserving Encryption with Differential Privacy, Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiran Liu, Jingren Zhou, CCS 2022
5. Privacy Implications of Shuffling, Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha, ICLR 2022, Code
6. Data Privacy in Trigger-Action IoT Systems, Yunang Chen, Amrita Roy Chowdhury, Ruizhe Wang, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes, IEEE S&P 2021, Code
7. Kalεido: Real-Time Privacy Control for Eye-Tracking Systems, Jingjie Li, Amrita Roy Chowdhury, Younghyun Kim, Kassem Fawaz, USENIX Security 2021, Media Coverage
8. Cryptε: Crypto-Assisted Differential Privacy on Untrusted Servers, Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha, SIGMOD 2020, Code
9. Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models, Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha, ICML 2020
10. Concise Explanations of Neural Networks using Adversarial Training, Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Somesh Jha, Xi Wu, ICML 2020
11. Prεεch: A System for Privacy-Preserving Speech Transcription, Shimaa Ahmed, Amrita Roy Chowdhury, Kassem Fawaz, Parmeswaran Ramanathan, USENIX Security 2020, Demo
12. PPU: Privacy-Aware Purchasing Unit for Residential Customers in Smart Electric Grids, Amrita Roy Chowdhury, Parmeswaran Ramanathan, VLSI Design 2018
13. LMAC: A Lightweight Message Authentication Code for Wireless Sensor Network, Amrita Roy Chowdhury, Sipra DasBit, IEEE GLOBECOM 2015
14. 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
1. Metric Differential Privacy at the User-Level, Jacob Imola, Amrita Roy Chowdhury, Kamalika Chaudhuri, PPML Workshop,Crypto’24
2. Prεεmpt: Sanitizing Sensitive Prompts for LLMs, Amrita Roy Chowdhury, David Glukhov, Divyam Anshumaan, Prasad Chalasani, Nicolas Papernot, Somesh Jha, Mihir Bellare, PPAI Workshop ’24
3. Per User Histogram in the Shuffle Model of Differential Privacy, Amrita Roy Chowdhury*, Jacob Imola*, Aashish Kolluri*, TPDP Workshop ’23 and Usenix Security ’23 Poster, *Equal Contribution
4. Forgeability and Membership Inference Attacks, Zhifeng Kong*, Amrita Roy Chowdhury*, Kamalika Chaudhuri, AISec Workshop, CCS ’22, *Equal contribution
5. Strengthening Order Preserving Encryption with Differential Privacy, Amrita Roy Chowdhury, Bolin Ding, Somesh Jha, Weiram Liu, Zingren Zhou, TPDP Workshop, ICML ’22
6. Robust Locally Differentially Private Graph Analysis, Jacob Imola*, Amrita Roy Chowdhury*, Kamalika Chaudhuri, TPDP Workshop, ICML ’22, *Equal contribution
7. 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
8. Local Inferential Privacy through Data Shuffling, Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha, SoCal ML & NLP Symposium ’21
9. Cryptε: Crypto-Assisted Differential Privacy on Untrusted Servers, Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha, PriML Workshop, NeurIPS ’19