MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. - Fabian Boemer; Rosario Cammarota; Daniel Demmler; Thomas Schneider 003; Hossein Yalame (IACR Cryptol. ePrint Arch., 2020)

ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation. - Arpita Patra; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (IACR Cryptol. ePrint Arch., 2020)

SAFELearn: Secure Aggregation for private FEderated Learning. - Hossein Fereidooni; Samuel Marchal; Markus Miettinen; Azalia Mirhoseini; Helen Möllering; Thien Duc Nguyen; Phillip Rieger; Ahmad-Reza Sadeghi; Thomas Schneider 003; Hossein Yalame; Shaza Zeitouni (IACR Cryptol. ePrint Arch., 2021)

LLVM-based Circuit Compilation for Practical Secure Computation. - Tim Heldmann; Thomas Schneider 003; Oleksandr Tkachenko; Christian Weinert; Hossein Yalame (IACR Cryptol. ePrint Arch., 2021)

Balancing Quality and Efficiency in Private Clustering with Affinity Propagation. - Hannah Keller; Helen Möllering; Thomas Schneider 003; Hossein Yalame (IACR Cryptol. ePrint Arch., 2021)

VASA: Vector AES Instructions for Security Applications. - Jean-Pierre Münch; Thomas Schneider 003; Hossein Yalame (IACR Cryptol. ePrint Arch., 2021)

FLGUARD: Secure and Private Federated Learning. - Thien Duc Nguyen; Phillip Rieger; Hossein Yalame; Helen Möllering; Hossein Fereidooni; Samuel Marchal; Markus Miettinen; Azalia Mirhoseini; Ahmad-Reza Sadeghi; Thomas Schneider 003; Shaza Zeitouni (IACR Cryptol. ePrint Arch., 2021)

SynCirc: Efficient Synthesis of Depth-Optimized Circuits for Secure Computation. - Arpita Patra; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (IACR Cryptol. ePrint Arch., 2021)

SoK: Efficient Privacy-preserving Clustering. - Aditya Hegde 003; Helen Möllering; Thomas Schneider 003; Hossein Yalame (Proc. Priv. Enhancing Technol., 2021)

Poster: Efficient Three-Party Shuffling Using Precomputation. - Andreas Brüggemann; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (CCS, 2022)

FLAME: Taming Backdoors in Federated Learning. - Thien Duc Nguyen; Phillip Rieger; Huili Chen; Hossein Yalame; Helen Möllering; Hossein Fereidooni; Samuel Marchal; Markus Miettinen; Azalia Mirhoseini; Shaza Zeitouni; Farinaz Koushanfar; Ahmad-Reza Sadeghi; et al. (USENIX Security Symposium, 2022)

ScionFL: Secure Quantized Aggregation for Federated Learning. - Yaniv Ben-Itzhak; Helen Möllering; Benny Pinkas; Thomas Schneider 003; Ajith Suresh; Oleksandr Tkachenko; Shay Vargaftik; Christian Weinert; Hossein Yalame; Avishay Yanai (CoRR, 2022)

Improved Universal Circuits using Lookup Tables. - Yann Disser; Daniel Günther 004; Thomas Schneider 003; Maximilian Stillger; Arthur Wigandt; Hossein Yalame (IACR Cryptol. ePrint Arch., 2022)

Breaking the Size Barrier: Universal Circuits Meet Lookup Tables. - Yann Disser; Daniel Günther 004; Thomas Schneider 003; Maximilian Stillger; Arthur Wigandt; Hossein Yalame (ASIACRYPT (1), 2023)

FLUTE: Fast and Secure Lookup Table Evaluations. - Andreas Brüggemann; Robin Hundt; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (SP, 2023)

HyFL: A Hybrid Approach For Private Federated Learning. - Felix Marx; Thomas Schneider 003; Ajith Suresh; Tobias Wehrle; Christian Weinert; Hossein Yalame (CoRR, 2023)

ScionFL: Efficient and Robust Secure Quantized Aggregation. - Yaniv Ben-Itzhak; Helen Möllering; Benny Pinkas; Thomas Schneider 003; Ajith Suresh; Oleksandr Tkachenko; Shay Vargaftik; Christian Weinert; Hossein Yalame; Avishay Yanai (IACR Cryptol. ePrint Arch., 2023)

FLUTE: Fast and Secure Lookup Table Evaluations (Full Version). - Andreas Brüggemann; Robin Hundt; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (IACR Cryptol. ePrint Arch., 2023)

Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater (Full Version). - Andreas Brüggemann; Oliver Schick; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (IACR Cryptol. ePrint Arch., 2023)

SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning. - Till Gehlhar; Felix Marx; Thomas Schneider 003; Ajith Suresh; Tobias Wehrle; Hossein Yalame (IACR Cryptol. ePrint Arch., 2023)

Griffin: Towards Mixed Multi-Key Homomorphic Encryption. - Thomas Schneider 003; Hossein Yalame; Michael Yonli (IACR Cryptol. ePrint Arch., 2023)

Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries". - Thomas Schneider 003; Ajith Suresh; Hossein Yalame (IEEE Trans. Inf. Forensics Secur., 2023)

Attesting Distributional Properties of Training Data for Machine Learning. - Vasisht Duddu; Anudeep Das; Nora Khayata; Hossein Yalame; Thomas Schneider 003; N. Asokan (ESORICS (1), 2024)

Don't Eject the Impostor: Fast Three-Party Computation With a Known Cheater. - Andreas Brüggemann; Oliver Schick; Thomas Schneider 003; Ajith Suresh; Hossein Yalame (SP, 2024)

FLUENT: A Tool for Efficient Mixed-Protocol Semi-Private Function Evaluation. - Daniel Günther 004; Joachim Schmidt 006; Thomas Schneider 003; Hossein Yalame (IACR Cryptol. ePrint Arch., 2024)

HyCaMi: High-Level Synthesis for Cache Side-Channel Mitigation. - Heiko Mantel; Joachim Schmidt 006; Thomas Schneider 003; Maximilian Stillger; Tim Weißmantel; Hossein Yalame (IACR Cryptol. ePrint Arch., 2024)

Advancing MPC: From Real-World Applications to LUT-Based Protocols. - Hossein Yalame (2024)

Multi-Party Computation in Corporate Data Processing: Legal and Technical Insights. - Sebastian Becker; Christoph Bösch 001; Benjamin Hettwer; Thomas Hoeren; Merlin Rombach; Sven Trieflinger; Hossein Yalame (IACR Cryptol. ePrint Arch., 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)