Tribhuvanesh Orekondy

According to our database, Tribhuvanesh Orekondy authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems.

Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi

CoRR, 2024

Probabilistic and Differentiable Wireless Simulation with Geometric Transformers.

Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

CoRR, 2024

Simulating, Fast and Slow: Learning Policies for Black-Box Optimization.

Fabio Valerio Massoli, Tim Bakker, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi

CoRR, 2024

2023

WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations.

Tribhuvanesh Orekondy, Kumar Pratik, Shreya Kadambi, Hao Ye, Joseph Soriaga, Arash Behboodi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps.

Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga

Proceedings of the IEEE Global Communications Conference, 2023

2022

MIMO-GAN: Generative MIMO Channel Modeling.

Tribhuvanesh Orekondy, Arash Behboodi, Joseph B. Soriaga

Proceedings of the IEEE International Conference on Communications, 2022

2021

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation.

Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz

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

Differential Privacy Defenses and Sampling Attacks for Membership Inference.

Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2020

Understanding and controlling leakage in machine learning.

Tribhuvanesh Orekondy

PhD thesis, 2020

Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries.

Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz

CoRR, 2020

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators.

Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks.

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks.

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

CoRR, 2019

Knockoff Nets: Stealing Functionality of Black-Box Models.

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Understanding and Controlling User Linkability in Decentralized Learning.

Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz

CoRR, 2018

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images.

Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

Proceedings of the IEEE International Conference on Computer Vision, 2017