Visual Themes and Sentiment on Social Networks To Aid First Responders During Crisis Events. - Prateek Dewan; Varun Bharadhwaj; Aditi Mithal; Anshuman Suri; Ponnurangam Kumaraguru (CoRR, 2016)

Towards Understanding Crisis Events On Online Social Networks Through Pictures. - Prateek Dewan; Anshuman Suri; Varun Bharadhwaj; Aditi Mithal; Ponnurangam Kumaraguru (ASONAM, 2017)

A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots. - Parag Agrawal; Anshuman Suri; Tulasi Menon (CoRR, 2018)

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling. - Vighnesh Leonardo Shiv; Chris Quirk; Anshuman Suri; Xiang Gao 011; Khuram Shahid; Nithya Govindarajan; Yizhe Zhang 002; Jianfeng Gao 001; Michel Galley; Chris Brockett; Tulasi Menon; Bill Dolan (ACL (3), 2019)

A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge. - Anshuman Suri; Mayank Vatsa; Richa Singh 001 (BTAS, 2019)

Hardening Deep Neural Networks via Adversarial Model Cascades. - Deepak Vijaykeerthy; Anshuman Suri; Sameep Mehta; Ponnurangam Kumaraguru (IJCNN, 2019)

NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. - Parag Agrawal; Anshuman Suri (SemEval@NAACL-HLT, 2019)

QnAMaker: Data to Bot in 2 Minutes. - Parag Agrawal; Tulasi Menon; Aya Kamel; Michel Naim; Chaikesh Chouragade; Gurvinder Singh; Rohan Kulkarni; Anshuman Suri; Sahithi Katakam; Vineet Pratik; Prakul Bansal; Simerpreet Kaur; et al. (WWW (Companion Volume), 2020)

One Neuron to Fool Them All. - Anshuman Suri; David Evans 001 (CoRR, 2020)

A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise Based Inter-Domain Knowledge. - Anshuman Suri; Mayank Vatsa; Richa Singh 001 (IEEE Trans. Biom. Behav. Identity Sci., 2020)

Model-Targeted Poisoning Attacks with Provable Convergence. - Fnu Suya; Saeed Mahloujifar; Anshuman Suri; David Evans 001; Yuan Tian 001 (ICML, 2021)

Formalizing Distribution Inference Risks. - Anshuman Suri; David Evans 001 (CoRR, 2021)

Subject Membership Inference Attacks in Federated Learning. - Anshuman Suri; Pallika Kanani; Virendra J. Marathe; Daniel W. Peterson (CoRR, 2022)

Formalizing and Estimating Distribution Inference Risks. - Anshuman Suri; David Evans 001 (Proc. Priv. Enhancing Technol., 2022)

Manipulating Transfer Learning for Property Inference. - Yulong Tian; Fnu Suya; Anshuman Suri; Fengyuan Xu; David Evans 001 (CVPR, 2023)

Dissecting Distribution Inference. - Anshuman Suri; Yifu Lu; Yanjin Chen; David Evans 001 (SaTML, 2023)

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. - Ahmed Salem 001; Giovanni Cherubin; David Evans 001; Boris Köpf; Andrew Paverd; Anshuman Suri; Shruti Tople; Santiago Zanella-Béguelin (SP, 2023)

SoK: Memorization in General-Purpose Large Language Models. - Valentin Hartmann; Anshuman Suri; Vincent Bindschaedler; David Evans 001; Shruti Tople; Robert West 001 (CoRR, 2023)

SoK: Pitfalls in Evaluating Black-Box Attacks. - Fnu Suya; Anshuman Suri; Tingwei Zhang; Jingtao Hong; Yuan Tian 001; David Evans 001 (SaTML, 2024)

Do Membership Inference Attacks Work on Large Language Models? - Michael Duan; Anshuman Suri; Niloofar Mireshghallah; Sewon Min; Weijia Shi; Luke Zettlemoyer; Yulia Tsvetkov; Yejin Choi 001; David Evans 001; Hannaneh Hajishirzi (CoRR, 2024)

Do Parameters Reveal More than Loss for Membership Inference? - Anshuman Suri; Xiao Zhang 016; David Evans 001 (Trans. Mach. Learn. Res., 2024)

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. - Ali Naseh; Yuefeng Peng; Anshuman Suri; Harsh Chaudhari; Alina Oprea; Amir Houmansadr (CoRR, 2025)

DROP: Poison Dilution via Knowledge Distillation for Federated Learning. - Georgios Syros; Anshuman Suri; Farinaz Koushanfar; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2025)

SAGA: A Security Architecture for Governing AI Agentic Systems. - Georgios Syros; Anshuman Suri; Cristina Nita-Rotaru; Alina Oprea (CoRR, 2025)

LLM Jailbreak Oracle. - Shuyi Lin; Anshuman Suri; Alina Oprea; Cheng Tan (CoRR, 2025)

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models. - Anshuman Suri; Harsh Chaudhari; Yuefeng Peng; Ali Naseh; Amir Houmansadr; Alina Oprea (CoRR, 2025)