LOCHA: A Light-weight One-way Cryptographic Hash Algorithm for Wireless Sensor Network. - Amrita Roy Chowdhury 001; Tanusree Chatterjee; Sipra Das Bit (ANT/SEIT, 2014)

LMAC: A Lightweight Message Authentication Code for Wireless Sensor Network. - Amrita Roy Chowdhury 001; Sipra Das Bit (GLOBECOM, 2015)

Public Order Preserving Cipher Generation Scheme for Distributed Computing. - Amrita Roy Chowdhury 001; Parameswaran Ramanathan (CCS, 2018)

PPU: Privacy-Aware Purchasing Unit for Residential Customers in Smart Electric Grids. - Amrita Roy Chowdhury 001; Parameswaran Ramanathan (VLSID, 2018)

Outis: Crypto-Assisted Differential Privacy on Untrusted Servers. - Amrita Roy Chowdhury 001; Chenghong Wang; Xi He 001; Ashwin Machanavajjhala; Somesh Jha (CoRR, 2019)

Prεεch: A System for Privacy-Preserving Speech Transcription. - Shimaa Ahmed; Amrita Roy Chowdhury 001; Kassem Fawaz; Parmesh Ramanathan (CoRR, 2019)

Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models. - Amrita Roy Chowdhury 001; Theodoros Rekatsinas; Somesh Jha (ICML, 2020)

Concise Explanations of Neural Networks using Adversarial Training. - Prasad Chalasani; Jiefeng Chen 001; Amrita Roy Chowdhury 001; Xi Wu 001; Somesh Jha (ICML, 2020)

Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers. - Amrita Roy Chowdhury 001; Chenghong Wang; Xi He 001; Ashwin Machanavajjhala; Somesh Jha (SIGMOD Conference, 2020)

Preech: A System for Privacy-Preserving Speech Transcription. - Shimaa Ahmed; Amrita Roy Chowdhury 001; Kassem Fawaz; Parmesh Ramanathan (USENIX Security Symposium, 2020)

Intertwining Order Preserving Encryption and Differential Privacy. - Amrita Roy Chowdhury 001; Bolin Ding; Somesh Jha; Weiran Liu; Jingren Zhou 001 (CoRR, 2020)

Data Privacy in Trigger-Action IoT Systems. - Yunang Chen; Amrita Roy Chowdhury 001; Ruizhe Wang 003; Andrei Sabelfeld; Rahul Chatterjee 001; Earlence Fernandes (CoRR, 2020)

Data Privacy in Trigger-Action Systems. - Yunang Chen; Amrita Roy Chowdhury 001; Ruizhe Wang 003; Andrei Sabelfeld; Rahul Chatterjee 001; Earlence Fernandes (SP, 2021)

Kalεido: Real-Time Privacy Control for Eye-Tracking Systems. - Jingjie Li; Amrita Roy Chowdhury 001; Kassem Fawaz; Younghyun Kim 001 (USENIX Security Symposium, 2021)

A Shuffling Framework for Local Differential Privacy. - Casey Meehan; Amrita Roy Chowdhury 001; Kamalika Chaudhuri; Somesh Jha (CoRR, 2021)

Strengthening Order Preserving Encryption with Differential Privacy. - Amrita Roy Chowdhury 001; Bolin Ding; Somesh Jha; Weiran Liu; Jingren Zhou 001 (CCS, 2022)

EIFFeL: Ensuring Integrity for Federated Learning. - Amrita Roy Chowdhury 001; Chuan Guo 001; Somesh Jha; Laurens van der Maaten (CCS, 2022)

Forgeability and Membership Inference Attacks. - Zhifeng Kong; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (AISec@CCS, 2022)

Privacy Implications of Shuffling. - Casey Meehan; Amrita Roy Chowdhury 001; Kamalika Chaudhuri; Somesh Jha (ICLR, 2022)

Robustness of Locally Differentially Private Graph Analysis Against Poisoning. - Jacob Imola; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (CoRR, 2022)

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks. - Zhichuang Sun; Ruimin Sun; Changming Liu; Amrita Roy Chowdhury 001; Long Lu; Somesh Jha (SP, 2023)

Can Membership Inferencing be Refuted? - Zhifeng Kong; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (CoRR, 2023)

Identifying and Mitigating the Security Risks of Generative AI. - Clark W. Barrett; Brad Boyd; Ellie Burzstein; Nicholas Carlini; Brad Chen; Jihye Choi; Amrita Roy Chowdhury 001; Mihai Christodorescu; Anupam Datta; Soheil Feizi; Kathleen Fisher; Tatsunori Hashimoto; et al. (CoRR, 2023)

Identifying and Mitigating the Security Risks of Generative AI. - Clark W. Barrett; Brad Boyd; Elie Bursztein; Nicholas Carlini; Brad Chen; Jihye Choi; Amrita Roy Chowdhury 001; Mihai Christodorescu; Anupam Datta; Soheil Feizi; Kathleen Fisher; Tatsunori Hashimoto; et al. (Found. Trends Priv. Secur., 2023)

Metric Differential Privacy at the User-Level via the Earth-Mover's Distance. - Jacob Imola; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (CCS, 2024)

FairProof : Confidential and Certifiable Fairness for Neural Networks. - Chhavi Yadav; Amrita Roy Chowdhury 001; Dan Boneh; Kamalika Chaudhuri (ICML, 2024)

Metric Differential Privacy at the User-Level. - Jacob Imola; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (CoRR, 2024)

On the Reliability of Membership Inference Attacks. - Amrita Roy Chowdhury 001; Zhifeng Kong; Kamalika Chaudhuri (SaTML, 2025)

Vεrity: Verifiable Local Differential Privacy. - James Bell-Clark; Adrià Gascón; Baiyu Li; Mariana Raykova 001; Amrita Roy Chowdhury 001 (IACR Cryptol. ePrint Arch., 2025)

Prεεmpt: Sanitizing Sensitive Prompts for LLMs. - Amrita Roy Chowdhury 001; David Glukhov; Divyam Anshumaan; Prasad Chalasani; Nicolas Papernot; Somesh Jha; Mihir Bellare (CoRR, 2025)

Differentially Private Quantiles with Smaller Error. - Jacob Imola; Fabrizio Boninsegna; Hannah Keller; Anders Aamand; Amrita Roy Chowdhury 001; Rasmus Pagh (CoRR, 2025)

SQUiD: Synthesizing Relational Databases from Unstructured Text. - Mushtari Sadia; Zhenning Yang; Yunming Xiao; Ang Chen 001; Amrita Roy Chowdhury 001 (CoRR, 2025)

What Really is a Member? Discrediting Membership Inference via Poisoning. - Neal Mangaokar; Ashish Hooda; Zhuohang Li; Bradley A. Malin; Kassem Fawaz; Somesh Jha; Atul Prakash 001; Amrita Roy Chowdhury 001 (CoRR, 2025)