Tribhuvanesh Orekondy

27 papers A* 7B 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Reasoning on the Edge. CoRR Yelysei Bondarenko, Thomas Hehn, Rob Hesselink, Romain Lepert, Fabio Valerio Massoli, Evgeny Mironov, Leyla Mirvakhabova, Tribhuvanesh Orekondy, Spyridon Stasis, Andrey Kuzmin, Anna Kuzina, Markus Nagel, Ankita Nayak, Corrado Rainone, Ork de Rooij, Paul N. Whatmough, Arash Behboodi, Babak Ehteshami Bejnordi
2026	J	`jnl`	LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents. CoRR Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, Fabio Valerio Massoli, Arash Behboodi, Tribhuvanesh Orekondy
2025	A*	`conf`	Differentiable and Learnable Wireless Simulation with Geometric Transformers. ICLR Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer
2024	J	`jnl`	Probabilistic and Differentiable Wireless Simulation with Geometric Transformers. CoRR Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer
2024	J	`jnl`	Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems. CoRR Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi
2024	J	`jnl`	Simulating, Fast and Slow: Learning Policies for Black-Box Optimization. CoRR Fabio Valerio Massoli, Tim Bakker, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi
2023	B	`conf`	Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. GLOBECOM Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga
2023	J	`jnl`	Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. CoRR Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga
2023	A*	`conf`	WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations. ICLR Tribhuvanesh Orekondy, Kumar Pratik, Shreya Kadambi, Hao Ye, Joseph Soriaga, Arash Behboodi
2022	—	`conf`	MIMO-GAN: Generative MIMO Channel Modeling. ICC Tribhuvanesh Orekondy, Arash Behboodi, Joseph B. Soriaga
2022	J	`jnl`	MIMO-GAN: Generative MIMO Channel Modeling. CoRR Tribhuvanesh Orekondy, Arash Behboodi, Joseph B. Soriaga
2021	—	`conf`	Differential Privacy Defenses and Sampling Attacks for Membership Inference. AISec@CCS Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz
2021	—	`conf`	InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CVPR Workshops Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
2020	A*	`conf`	GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. NeurIPS Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
2020	J	`jnl`	GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. CoRR Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
2020	J	`jnl`	InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CoRR Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
2020	A*	`conf`	Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. ICLR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2020	J	`jnl`	Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries. CoRR Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz
2020	—	`—`	Understanding and controlling leakage in machine learning. Tribhuvanesh Orekondy
2019	A*	`conf`	Knockoff Nets: Stealing Functionality of Black-Box Models. CVPR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2019	J	`jnl`	Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. CoRR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2018	A*	`conf`	Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CVPR Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
2018	J	`jnl`	Knockoff Nets: Stealing Functionality of Black-Box Models. CoRR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2018	J	`jnl`	Understanding and Controlling User Linkability in Decentralized Learning. CoRR Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CoRR Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
2017	A*	`conf`	Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. ICCV Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
2017	J	`jnl`	Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. CoRR Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz