| Combing for Credentials: Active Pattern Extraction from Smart Reply B Jayaraman, E Ghosh, M Chase, S Roy, W Dai, D Evans IEEE Symposium on Security and Privacy (Oakland) 2024, 2024 | 2 | 2024 |
| TrojanPuzzle: Covertly Poisoning Code-Suggestion Models H Aghakhani, W Dai, A Manoel, X Fernandes, A Kharkar, C Kruegel, ... IEEE Symposium on Security and Privacy (Oakland) 2024, 2024 | 17 | 2024 |
| 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, 2024 | 4 | 2024 |
| Addressing Both Statistical and Causal Gender Fairness in NLP Models H Chen, Y Ji, D Evans North American Association for Computational Linguistics (NAACL) 2024 …, 2024 | | 2024 |
| Do Membership Inference Attacks Work on Large Language Models? M Duan, A Suri, N Mireshghallah, S Min, W Shi, L Zettlemoyer, Y Tsvetkov, ... arXiv preprint arXiv:2402.07841, 2024 | 3 | 2024 |
| Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment R Cummings, D Desfontaines, D Evans, R Geambasu, Y Huang, ... Harvard Data Science Review, 2024 | 30* | 2024 |
| Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks E Rose, F Suya, D Evans arXiv preprint arXiv:2311.11544, 2023 | | 2023 |
| What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? F Suya, X Zhang, Y Tian, D Evans Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 3* | 2023 |
| 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 | 6 | 2023 |
| Efficient Privacy-Preserving Nonconvex Optimization L Wang, B Jayaraman, D Evans, Q Gu Uncertainty in Artificial Intelligence 2023 (PMLR 216), 2203-2213, 2023 | 48* | 2023 |
| PC Chairs’ Welcome to Euro S&P 2023 D Evans, H Bos IEEE European Symposium on Security and Privacy 2023, 2023 | | 2023 |
| 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, 2023 | 4 | 2023 |
| 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 (Oakland) 2023, 2023 | 19 | 2023 |
| Dissecting Distribution Inference A Suri, Y Lu, Y Chen, D Evans IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) 2023, 2023 | 10 | 2023 |
| Message from the DSML 2023 Organizers H Alemzadeh, R Bobba, V Chandrasekaran, D Evans, N Papernot, ... Proceedings-53rd Annual IEEE/IFIP International Conference on Dependable …, 2023 | | 2023 |
| Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models H Chen, Y Ji, D Evans Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022, 2022 | 4 | 2022 |
| Memorization in NLP Fine-tuning Methods F Mireshghallah, A Uniyal, T Wang, D Evans, T Berg-Kirkpatrick Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022, 2022 | 23 | 2022 |
| Are Attribute Inference Attacks Just Imputation? B Jayaraman, D Evans ACM Conference on Computer and Communications Security (CCS) 2022, 2022 | 28 | 2022 |
| Formalizing and Estimating Distribution Inference Risks A Suri, D Evans Proceedings on Privacy Enhancing Technologies (PETS) 2022, 2022 | 36 | 2022 |
| Dynamic System Diversification for Securing Cloud-based IoT Subnetworks H Almohri, L Watson, D Evans, S Billups ACM Transactions on Autonomous and Adaptive Systems, 2022 | | 2022 |
Jonathan KatzProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
