| 2024 | AAAI | SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features. | Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lcu, Daniele Magazzeni |
| 2024 | ICML | Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. | Sanjay Kariyappa, Freddy Lcu, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso |
| 2023 | ICML | Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. | Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee |
| 2021 | CVPR | MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. | Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi |
| 2021 | ICLR | Protecting DNNs from Theft using an Ensemble of Diverse Models. | Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi |
| 2020 | CVPR | Defending Against Model Stealing Attacks With Adaptive Misinformation. | Sanjay Kariyappa, Moinuddin K. Qureshi |
| 2019 | HPCA | Enabling Transparent Memory-Compression for Commodity Memory Systems. | Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi |