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Tribhuvanesh Orekondy

Observed name: Orekondy, Tribhuvanesh
OpenAlex ID: A5087547624
Knockoff Nets: Stealing Functionality of Black-Box Models
2019 · Tribhuvanesh Orekondy, Bernt Schiele, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 549
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Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
2017 · Tribhuvanesh Orekondy, Bernt Schiele, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 162
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GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
2020 · Chen, Dingfan, Orekondy, Tribhuvanesh, et al. · arXiv (Cornell University) · 102
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Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
2019 · Orekondy, Tribhuvanesh, Schiele, Bernt, et al. · arXiv (Cornell University) · 90
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Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images
2018 · Tribhuvanesh Orekondy, Mario Fritz, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 88
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MIMO-GAN: Generative MIMO Channel Modeling
2022 · Tribhuvanesh Orekondy, Arash Behboodi, et al. · International Conference on Communications · 30
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Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
2018 · Orekondy, Tribhuvanesh, Oh, Seong Joon, et al. · arXiv (Cornell University) · 27
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Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries
2020 · Rahimian, Shadi, Orekondy, Tribhuvanesh, et al. · arXiv (Cornell University) · 26
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Differential Privacy Defenses and Sampling Attacks for Membership Inference
2021 · Shadi Rahimian, Tribhuvanesh Orekondy, et al. · ACM Workshop on Artificial Intelligence and Security (AISec) · 24
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
2021 · Hui-Po Wang, Tribhuvanesh Orekondy, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 24
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps
2023 · Thomas M. Hehn, Tribhuvanesh Orekondy, et al. · Globecom · 23
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Understanding and Controlling User Linkability in Decentralized Learning.
2018 · Tribhuvanesh Orekondy, Seong Joon Oh, et al. · arXiv (Cornell University) · 12
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks
2020 · Orekondy, Tribhuvanesh, Schiele, Bernt, et al. · arXiv (Cornell University) · 9
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
2020 · Wang, Hui-Po, Orekondy, Tribhuvanesh, et al. · arXiv (Cornell University) · 2
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Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
2024 · Silvestri, Gianluigi, Massoli, Fabio Valerio, et al. · arXiv (Cornell University) · 1
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Gradient-Leaks: Understanding Deanonymization in Federated Learning
2019 · Tribhuvanesh Orekondy, Seong Joon Oh, et al. · MPG.PuRe (Max Planck Society) · 1
Application of support vector machine in Continuous Authentication
2012 · Tribhuvanesh Orekondy, Soumya Gosukonda, et al. · World Congress on Information and Communication Technologies · 1
Explorer-Zero: Improving Self-Play for Long-Horizon Tasks with Decomposable Verifiable Rewards
2026 · Liu, Tianyu, Belli, Davide, et al. · arXiv (Cornell University)
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MoNe: Modular Neural Memory for Efficient Long Context Inference
2026 · Cho, Wonguk, Chae, Kyubyung, et al. · arXiv (Cornell University)
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LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation
2026 · Cesa, Gabriele, Hehn, Thomas, et al. · arXiv (Cornell University)
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Efficient Reasoning on the Edge
2026 · Bondarenko, Yelysei, Hehn, Thomas, et al. · arXiv (Cornell University)
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LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents
2026 · Rakhsha, Amin, Hehn, Thomas, et al. · arXiv (Cornell University)
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LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents
2026 · Amin Rakhsha, Thomas Hehn, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Differentiable and Learnable Wireless Simulation with Geometric Transformers
2024 · Hehn, Thomas, Peschl, Markus, et al. · arXiv (Cornell University)
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Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
2024 · Bakker, Tim, Massoli, Fabio Valerio, et al. · arXiv (Cornell University)
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Works count: 28
Citation count: 1,171
H-index: 12
I10-index: 12
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