Sanjay Kariyappa

According to our database, Sanjay Kariyappa authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Information Flow Control in Machine Learning through Modular Model Architecture.

Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh

Proceedings of the 33rd USENIX Security Symposium, 2024

Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions.

Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features.

Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding and Mitigating Privacy Vulnerabilities in Deep Learning.

Sanjay Kariyappa

PhD thesis, 2023

Privacy-Preserving Algorithmic Recourse.

Sikha Pentyala, Shubham Sharma, Sanjay Kariyappa, Freddy Lécué, Daniele Magazzeni

CoRR, 2023

ExPLoit: Extracting Private Labels in Split Learning.

Sanjay Kariyappa, Moinuddin K. Qureshi

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information.

Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information.

Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh

CoRR, 2022

2021

Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning.

Sanjay Kariyappa, Moinuddin K. Qureshi

CoRR, 2021

Enabling Inference Privacy with Adaptive Noise Injection.

Sanjay Kariyappa, Ousmane Dia, Moinuddin K. Qureshi

CoRR, 2021

Bespoke Cache Enclaves: Fine-Grained and Scalable Isolation from Cache Side-Channels via Flexible Set-Partitioning.

Gururaj Saileshwar, Sanjay Kariyappa, Moinuddin K. Qureshi

Proceedings of the 2021 International Symposium on Secure and Private Execution Environment Design (SEED), 2021

Protecting DNNs from Theft using an Ensemble of Diverse Models.

Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi

Proceedings of the 9th International Conference on Learning Representations, 2021

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation.

Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Defending Against Model Stealing Attacks With Adaptive Misinformation.

Sanjay Kariyappa, Moinuddin K. Qureshi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Improving Adversarial Robustness of Ensembles with Diversity Training.

Sanjay Kariyappa, Moinuddin K. Qureshi

CoRR, 2019

Enabling Transparent Memory-Compression for Commodity Memory Systems.

Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

2018

CRAM: Efficient Hardware-Based Memory Compression for Bandwidth Enhancement.

Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi

CoRR, 2018