Exploring privacy-enhancing technologies in the automotive value chain. - Gonzalo Munilla Garrido; Kaja Schmidt; Christopher Harth-Kitzerow; Johannes Klepsch; André Luckow; Florian Matthes (IEEE BigData, 2021)

CRGC: A Practical Framework for Constructing Reusable Garbled Circuits. - Christopher Harth-Kitzerow; Georg Carle; Fan Fei; André Luckow; Johannes Klepsch (SECRYPT, 2022)

Verifying Outsourced Computation in an Edge Computing Marketplace. - Christopher Harth-Kitzerow; Gonzalo Munilla Garrido (CoRR, 2022)

Communication Efficient Semi-Honest Three-Party Secure Multiparty Computation with an Honest Majority. - Christopher Harth-Kitzerow (CoRR, 2022)

High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. - Christopher Harth-Kitzerow; Georg Carle (IACR Cryptol. ePrint Arch., 2024)

Truncation Untangled: Scaling Fixed-Point Arithmetic for Privacy-Preserving Machine Learning to Large Models and Datasets. - Christopher Harth-Kitzerow; Georg Carle (IACR Cryptol. ePrint Arch., 2024)

PIGEON: A Framework for Private Inference of Neural Networks. - Christopher Harth-Kitzerow; Yongqin Wang; Rachit Rajat; Georg Carle; Murali Annavaram (IACR Cryptol. ePrint Arch., 2024)

SoK: Truncation Untangled: Scaling Fixed-Point Arithmetic for Privacy-Preserving Machine Learning to Large Models and Datasets. - Christopher Harth-Kitzerow; Ajith Suresh; Georg Carle (Proc. Priv. Enhancing Technol., 2025)

High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. - Christopher Harth-Kitzerow; Ajith Suresh; Yongqin Wang; Hossein Yalame; Georg Carle; Murali Annavaram (Proc. Priv. Enhancing Technol., 2025)

PIGEON: A High Throughput Framework for Private Inference of Neural Networks using Secure Multiparty Computation. - Christopher Harth-Kitzerow; Yongqin Wang; Rachit Rajat; Georg Carle; Murali Annavaram (Proc. Priv. Enhancing Technol., 2025)