Tribhuvanesh Orekondy

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Private Information

Sensitive Attributes

Differential Privacy

Top Venues

Publications

Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh Orekondy, Afshin Abdi, Arash Behboodi
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems. CoRR (2024)
Fabio Valerio Massoli, Tim Bakker, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization. CoRR (2024)
Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer
Probabilistic and Differentiable Wireless Simulation with Geometric Transformers. CoRR (2024)
Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. GLOBECOM (2023)
Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga
Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. CoRR (2023)
Tribhuvanesh Orekondy, Kumar Pratik, Shreya Kadambi, Hao Ye, Joseph Soriaga, Arash Behboodi
WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations. ICLR (2023)
Tribhuvanesh Orekondy, Arash Behboodi, Joseph B. Soriaga
MIMO-GAN: Generative MIMO Channel Modeling. CoRR (2022)
Tribhuvanesh Orekondy, Arash Behboodi, Joseph B. Soriaga
MIMO-GAN: Generative MIMO Channel Modeling. ICC (2022)
Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CVPR Workshops (2021)
Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz
Differential Privacy Defenses and Sampling Attacks for Membership Inference. AISec@CCS (2021)
Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CoRR (2020)
Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. CoRR (2020)
Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries. CoRR (2020)
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. ICLR (2020)
Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. NeurIPS (2020)
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. CoRR (2019)
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
Knockoff Nets: Stealing Functionality of Black-Box Models. CVPR (2019)
Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CVPR (2018)
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
Knockoff Nets: Stealing Functionality of Black-Box Models. CoRR (2018)
Tribhuvanesh Orekondy, Seong Joon Oh, Bernt Schiele, Mario Fritz
Understanding and Controlling User Linkability in Decentralized Learning. CoRR (2018)
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. ICCV (2017)
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. CoRR (2017)
Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. CoRR (2017)