| Formalizing and Estimating Distribution Inference Risks A Suri, D Evans Proceedings on Privacy Enhancing Technologies (PETS), 2022 | 53 | 2022 |
| Model-targeted poisoning attacks: Provable convergence and certified bounds F Suya, S Mahloujifar, A Suri, D Evans, Y Tian International Conference on Machine Learning (ICML), 2021 | 49* | 2021 |
| Do membership inference attacks work on large language models? M Duan, A Suri, N Mireshghallah, S Min, W Shi, L Zettlemoyer, Y Tsvetkov, ... Conference on Language Modeling (COLM), 2024 | 45* | 2024 |
| Subject membership inference attacks in federated learning A Suri, P Kanani, VJ Marathe, DW Peterson arXiv preprint arXiv:2206.03317, 2022 | 34 | 2022 |
| NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep P Agrawal*, A Suri* International Workshop on Semantic Evaluation (SemEval), NAACL-HLT 2019, 2019 | 30 | 2019 |
| SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A Salem, G Cherubin, D Evans, B Köpf, A Paverd, A Suri, S Tople, ... IEEE Symposium on Security and Privacy (S&P), 2023 | 29 | 2023 |
| Towards Understanding Crisis Events On Online Social Networks Through Pictures P Dewan, A Suri, V Bharadhwaj, A Mithal, P Kumaraguru IEEE/ACM International Conference on Advances in Social Networks Analysis …, 2017 | 28* | 2017 |
| Sok: Memorization in general-purpose large language models V Hartmann, A Suri, V Bindschaedler, D Evans, S Tople, R West arXiv preprint arXiv:2310.18362, 2023 | 22 | 2023 |
| QnAMaker: Data to Bot in 2 Minutes P Agrawal, T Menon, A Kamel, M Naim, C Chouragade, G Singh, ... The Web Conference, Demo Track, 2020 | 13 | 2020 |
| Dissecting Distribution Inference A Suri, Y Lu, Y Chen, D Evans IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023 | 11 | 2023 |
| Sok: Pitfalls in evaluating black-box attacks F Suya, A Suri, T Zhang, J Hong, Y Tian, D Evans IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2024 | 7 | 2024 |
| Manipulating Transfer Learning for Property Inference Y Tian, F Suya, A Suri, F Xu, D Evans IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 7 | 2023 |
| Hardening Deep Neural Networks via Adversarial Model Cascades D Vijaykeerthy*, A Suri*, S Mehta, P Kumaraguru International Joint Conference on Neural Networks (IJCNN), 2019 | 7 | 2019 |
| Microsoft ICECAPS: An Open-Source Toolkit for Conversation Modeling VL Shiv, C Quirk, A Suri, X Gao, K Shahid, N Govindarajan, Y Zhang, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 6 | 2019 |
| A2-LINK: recognizing disguised faces via active learning and adversarial noise based inter-domain knowledge A Suri, M Vatsa, R Singh IEEE Transactions on Biometrics, Behavior, and Identity Science 2 (4), 326-336, 2020 | 5 | 2020 |
| One neuron to fool them all A Suri, D Evans arXiv preprint arXiv:2003.09372, 2020 | 5 | 2020 |
| A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain Knowledge A Suri, M Vatsa, R Singh 2019 IEEE 10th International Conference on Biometrics Theory, Applications …, 2019 | 5 | 2019 |
| A Trustworthy, Responsible and Interpretable System to Handle Chit-Chat in Conversational Bots P Agrawal, A Suri, T Menon The Second AAAI Workshop on Reasoning and Learning for Human-Machine Dialogues, 2018 | 4 | 2018 |
| Do Parameters Reveal More than Loss for Membership Inference? A Suri, X Zhang, D Evans Workshop on High-dimensional Learning Dynamics (HiLD), ICML, 2024 | | 2024 |
| Subject Level Privacy Attack Analysis for Federated Learning PH Kanani, VJ Marathe, DW Peterson, A Suri US Patent App. 17/681,638, 2023 | | 2023 |
David EvansUniversity of Virginia, Computer ScienceVerified email at virginia.edu
