Sanjay Kariyappa

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Fisher Information

Projective Transformations

Classification Models

Top Venues

USENIX Security Symposium

Publications

Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features. AAAI (2024)
Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. CoRR (2024)
Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh
Information Flow Control in Machine Learning through Modular Model Architecture. USENIX Security Symposium (2024)
Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features. CoRR (2023)
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information. NeurIPS (2023)
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. ICML (2023)
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information. CoRR (2023)
Sikha Pentyala, Shubham Sharma, Sanjay Kariyappa, Freddy Lécué, Daniele Magazzeni
Privacy-Preserving Algorithmic Recourse. CoRR (2023)
Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh
Information Flow Control in Machine Learning through Modular Model Architecture. CoRR (2023)
Sanjay Kariyappa, Moinuddin K. Qureshi
ExPLoit: Extracting Private Labels in Split Learning. SaTML (2023)
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis. CoRR (2022)
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information. CoRR (2022)
Sanjay Kariyappa, Ousmane Dia, Moinuddin K. Qureshi
Enabling Inference Privacy with Adaptive Noise Injection. CoRR (2021)
Sanjay Kariyappa, Moinuddin K. Qureshi
Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning. CoRR (2021)
Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. CVPR (2021)
Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
Protecting DNNs from Theft using an Ensemble of Diverse Models. ICLR (2021)
Gururaj Saileshwar, Sanjay Kariyappa, Moinuddin K. Qureshi
Bespoke Cache Enclaves: Fine-Grained and Scalable Isolation from Cache Side-Channels via Flexible Set-Partitioning. SEED (2021)
Sanjay Kariyappa, Moinuddin K. Qureshi
Defending Against Model Stealing Attacks With Adaptive Misinformation. CVPR (2020)
Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. CoRR (2020)
Sanjay Kariyappa, Moinuddin K. Qureshi
Improving Adversarial Robustness of Ensembles with Diversity Training. CoRR (2019)
Sanjay Kariyappa, Moinuddin K. Qureshi
Defending Against Model Stealing Attacks with Adaptive Misinformation. CoRR (2019)
Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi
Enabling Transparent Memory-Compression for Commodity Memory Systems. HPCA (2019)
Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi
CRAM: Efficient Hardware-Based Memory Compression for Bandwidth Enhancement. CoRR (2018)