| 2026 | ACL | LUMINA: Long-horizon Understanding for Multi-turn Interactive Agents. | Amin Rakhsha, Thomas Hehn, Pietro Mazzaglia, Fabio Valerio Massoli, Arash Behboodi, Tribhuvanesh Orekondy |
| 2025 | ICLR | Differentiable and Learnable Wireless Simulation with Geometric Transformers. | Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer |
| 2023 | GLOBECOM | 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 |
| 2023 | ICLR | WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations. | Tribhuvanesh Orekondy, Kumar Pratik, Shreya Kadambi, Hao Ye, Joseph Soriaga, Arash Behboodi |
| 2021 | CCS | Differential Privacy Defenses and Sampling Attacks for Membership Inference. | Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz |
| 2021 | CVPR | InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. | Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz |
| 2020 | ICLR | Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. | Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz |
| 2019 | CVPR | Knockoff Nets: Stealing Functionality of Black-Box Models. | Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz |
| 2018 | CVPR | Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. | Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele |
| 2017 | ICCV | Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. | Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz |