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Sanjay Kariyappa

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
2021 · Sanjay Kariyappa, Atul Prakash, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 157
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Defending Against Model Stealing Attacks With Adaptive Misinformation
2020 · Sanjay Kariyappa, Moinuddin K. Qureshi · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 116
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Improving Adversarial Robustness of Ensembles with Diversity Training
2019 · Kariyappa, Sanjay, Qureshi, Moinuddin K. · arXiv (Cornell University) · 95
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Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks
2019 · S. Ambrogio, M. Gallot, et al. · Technical digest - International Electron Devices Meeting/Technical digest · 76
Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training
2021 · Sanjay Kariyappa, Hsinyu Tsai, et al. · IEEE Transactions on Electron Devices · 45
ExPLoit: Extracting Private Labels in Split Learning
2023 · Sanjay Kariyappa, Moinuddin K Qureshi · IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 28
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Enabling Transparent Memory-Compression for Commodity Memory Systems
2019 · Vinson Young, Sanjay Kariyappa, et al. · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · 21
Bespoke Cache Enclaves: Fine-Grained and Scalable Isolation from Cache Side-Channels via Flexible Set-Partitioning
2021 · Gururaj Saileshwar, Sanjay Kariyappa, et al. · International Symposium on Secure and Private Execution Environment Design (SEED) · 20
Protecting DNNs from Theft using an Ensemble of Diverse Models
2021 · Sanjay Kariyappa, Atul Prakash, et al. · International Conference on Learning Representations · 16
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
2022 · Kariyappa, Sanjay, Guo, Chuan, et al. · arXiv (Cornell University) · 12
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SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features
2024 · Sanjay Kariyappa, Leonidas Tsepenekas, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 9
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Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
2023 · Kiwan Maeng, Chuan Guo, et al. · neural information processing systems · 9
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CRAM: Efficient Hardware-Based Memory Compression for Bandwidth Enhancement
2018 · Young, Vinson, Kariyappa, Sanjay, et al. · arXiv (Cornell University) · 5
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Privacy-Preserving Algorithmic Recourse
2023 · Pentyala, Sikha, Sharma, Shubham, et al. · arXiv (Cornell University) · 4
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Enabling Inference Privacy with Adaptive Noise Injection
2021 · Kariyappa, Sanjay, Dia, Ousmane, et al. · arXiv (Cornell University) · 4
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Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
2022 · Maeng, Kiwan, Guo, Chuan, et al. · arXiv (Cornell University) · 3
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Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning.
2021 · Sanjay Kariyappa, Moinuddin K. Qureshi · arXiv (Cornell University) · 2
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
2026 · Xiang, Chong, Zagieboylo, Drew, et al. · arXiv (Cornell University) · 1
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NVIDIA Nemotron 3: Efficient and Open Intelligence
2025 · NVIDIA, :, et al. · arXiv (Cornell University) · 1
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Interpretable LLM-based Table Question Answering
2024 · Nguyen, Giang, Brugere, Ivan, et al. · arXiv (Cornell University) · 1
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Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
2024 · Kariyappa, Sanjay, Lécué, Freddy, et al. · arXiv (Cornell University) · 1
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Information Flow Control in Machine Learning through Modular Model Architecture
2023 · Tiwari, Trishita, Gururangan, Suchin, et al. · arXiv (Cornell University) · 1
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Improving Instruction Hierarchy by Learning from Goal-Goal Conflicts
2026 · Chen, Sizhe, Kariyappa, Sanjay, et al. · arXiv (Cornell University)
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PIPES: Securing Agent Perception with Provenance and Priors
2026 · Kariyappa, Sanjay, Klingler, Severin, et al. · arXiv (Cornell University)
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Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026 · NVIDIA, :, et al. · arXiv (Cornell University)
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Works count: 34
Citation count: 627
H-index: 10
I10-index: 10
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