publications

Reverse-chronological, with venue and topic tags. Use the filters to narrow by area.

2026

  1. NeurIPS
    Training-Free Dynamic Upcycling of Expert Language Models
    Eros Fanı̀, and Oğuzhan Ersoy
    In Advances in Neural Information Processing Systems (NeurIPS) 2026
    Machine Learning Model Merging
  2. arXiv
    OPEN-1B: A Fully Auditable Training Run
    John Donaghy, Brian Wilcox, Oğuzhan Ersoy, Shikhar Rastogi, Adam St Arnaud, Alexey Titov, Jordan Greenberg, Ben Fielding, and Harry Grieve
    arXiv preprint arXiv:2609.17380 2026
    Machine Learning Verifiability Pre-Training
  3. ICML-W
    The Role of Feedback Alignment in Self-Distillation
    Semih Kara, and Oğuzhan Ersoy
    In ICML Workshop on Reinforcement Learning from Human Feedback (RLxF) 2026
    Machine Learning Post-Training
  4. ICML-W
    IR3DE: A Linear Router for Large Language Models
    Eros Fanı̀, and Oğuzhan Ersoy
    In ICML Workshop on Adaptive Foundation Models (AdaptFM) 2026
    Machine Learning Decentralisation Inference
  5. ACL-F
    Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO
    Nikolay Blagoev, Oğuzhan Ersoy, and Lydia Yiyu Chen
    In Findings of the Association for Computational Linguistics: ACL 2026
    Machine Learning Security and Privacy Decentralisation Post-Training
  6. ICML-W
    F-TIS: Harnessing Diverse Models in Collaborative GRPO
    Nikolay Blagoev, Oğuzhan Ersoy, Wendelin Böhmer, and Lydia Yiyu Chen
    In ICML Workshop on Scaling Up Intelligence (SCALE) 2026
    Machine Learning Decentralisation Post-Training
  7. ICLR-W
    Training-Free Dynamic Upcycling of Expert Language Models
    Eros Fanı̀, and Oğuzhan Ersoy
    In ICLR Workshop on Sparsity in LLMs (SPOT), earlier version 2026
    Machine Learning Model Merging
  8. ICLR-W
    Backdoor Attacks on Decentralised Post-Training
    Oğuzhan Ersoy, Nikolay Blagoev, Jona Lintelo, Stefanos Koffas, Marina Krček, and Stjepan Picek
    In ICLR Workshop on Principled Design for Trustworthy AI 2026
    Machine Learning Security and Privacy Decentralisation Post-Training
  9. EuroMLSys
    All is Not Lost: LLM Recovery without Checkpoints
    Nikolay Blagoev, Oğuzhan Ersoy, and Lydia Yiyu Chen
    In European Workshop on Machine Learning and Systems (EuroMLSys) 2026
    Machine Learning Decentralisation Pre-Training

2025

  1. arXiv
    NoLoCo: No-all-reduce Low Communication Training Method for Large Models
    Jari Kolehmainen, Nikolay Blagoev, Semih Kara, John Donaghy, Christopher Nies, and Oğuzhan Ersoy
    arXiv preprint arXiv:2506.10911 2025
    Machine Learning Decentralisation Pre-Training
  2. ICLR-W
    HDEE: Heterogeneous Domain Expert Ensemble
    Oğuzhan Ersoy, Jari Kolehmainen, and Gabriel Passamani Andrade
    In ICLR Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning (MCDC) 2025
    Machine Learning Decentralisation Model Merging
  3. arXiv
    SkipPipe: Partial and Reordered Pipelining Framework for Training LLMs in Heterogeneous Networks
    Nikolay Blagoev, Lydia Yiyu Chen, and Oğuzhan Ersoy
    arXiv preprint arXiv:2502.19913 2025
    Machine Learning Decentralisation Pre-Training
  4. arXiv
    Verde: Verification via Refereed Delegation for Machine Learning Programs
    Arasu Arun, Adam St Arnaud, Alexey Titov, Brian Wilcox, Viktor Kolobaric, Marc Brinkmann, Oğuzhan Ersoy, Ben Fielding, and Joseph Bonneau
    arXiv preprint arXiv:2502.19405 2025
    Machine Learning Verifiability

2024

  1. DSN
    Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks
    Xiaoyun Xu, Oğuzhan Ersoy, Behrad Tajalli, and Stjepan Picek
    In IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) 2024
    Machine Learning Security and Privacy
  2. arXiv
    Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
    Ali Reza Ghavamipour, Benjamin Zi Hao Zhao, Oğuzhan Ersoy, and Fatih Turkmen
    arXiv preprint arXiv:2404.17970 2024
    Machine Learning Security and Privacy Decentralisation

2023

  1. EuroS&P
    Watermarking Graph Neural Networks Based on Backdoor Attacks
    Jing Xu, Stefanos Koffas, Oğuzhan Ersoy, and Stjepan Picek
    In IEEE European Symposium on Security and Privacy (EuroS&P) 2023
    Machine Learning Security and Privacy
  2. AsiaCCS
    A New Look at Blockchain Leader Election: Simple, Efficient, Sustainable and Post-Quantum
    Muhammed F. Esgin, Oğuzhan Ersoy, Veronika Kuchta, Julian Loss, Amin Sakzad, Ron Steinfeld, Xiangyu Yang, and Raymond K. Zhao
    In ACM Asia Conference on Computer and Communications Security (AsiaCCS) 2023
    Blockchain Security and Privacy
  3. SPW
    On Feasibility of Server-Side Backdoor Attacks on Split Learning
    Behrad Tajalli, Oğuzhan Ersoy, and Stjepan Picek
    In IEEE Security and Privacy Workshops (SPW) 2023
    Machine Learning Security and Privacy Decentralisation
  4. FC
    Extras and Premiums: Local PCN Routing with Redundancy and Fees
    Yu Shen, Oğuzhan Ersoy, and Stefanie Roos
    In Financial Cryptography and Data Security (FC) 2023
    Blockchain Incentives
  5. S&P
    BlindHub: Bitcoin-Compatible Privacy-Preserving Payment Channel Hubs Supporting Variable Amounts
    Xianrui Qin, Shimin Pan, Arash Mirzaei, Zhimei Sui, Oğuzhan Ersoy, Amin Sakzad, Jiangshan Yu, Muhammed F. Esgin, Joseph K. Liu, and Tsz Hon Yuen
    In IEEE Symposium on Security and Privacy 2023
    Blockchain Security and Privacy
  6. FC
    Get Me out of This Payment! Bailout: An HTLC Re-routing Protocol
    Oğuzhan Ersoy, Pedro Moreno-Sanchez, and Stefanie Roos
    In Financial Cryptography and Data Security (FC) 2023
    Blockchain Security and Privacy
  7. SaTML
    Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning
    Gorka Abad, Servio Paguada, Oğuzhan Ersoy, Stjepan Picek, Vı́ctor Julio Ramı́rez-Durán, and Aitor Urbieta
    In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) 2023
    Machine Learning Security and Privacy Decentralisation
  8. arXiv
    Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
    Gorka Abad, Oğuzhan Ersoy, Stjepan Picek, and Aitor Urbieta
    arXiv preprint arXiv:2302.06279 2023
    Machine Learning Security and Privacy

2022

  1. CCS-P
    Poster: Backdoor Attacks on Spiking NNs and Neuromorphic Datasets
    Gorka Abad, Oğuzhan Ersoy, Stjepan Picek, Vı́ctor Julio Ramı́rez-Durán, and Aitor Urbieta
    In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security 2022
    Machine Learning Security and Privacy
  2. AFT
    SyncPCN/PSyncPCN: Payment Channel Networks without Blockchain Synchrony
    Oğuzhan Ersoy, Jérémie Decouchant, Satwik Prabhu Kimble, and Stefanie Roos
    In ACM Advances in Financial Technologies (AFT) 2022
    Blockchain Security and Privacy
  3. TBD
    Feverless: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels
    Rui Wang, Oğuzhan Ersoy, Hangyu Zhu, Yaochu Jin, and Kaitai Liang
    IEEE Transactions on Big Data 2022
    Machine Learning Security and Privacy Decentralisation

2021

  1. Asiacrypt
    Generalized Channels from Limited Blockchain Scripts and Adaptor Signatures
    Lukas Aumayr, Oğuzhan Ersoy, Andreas Erwig, Sebastian Faust, Kristina Hostáková, Matteo Maffei, Pedro Moreno-Sanchez, and Siavash Riahi
    In ASIACRYPT (2) 2021
    Blockchain Security and Privacy
  2. DAPPS
    Practical Exchange for Unique Digital Goods
    Oğuzhan Ersoy, Ziya Alper Genç, Zekeriya Erkin, and Mauro Conti
    In DAPPS 2021
    Blockchain Security and Privacy
  3. S&P
    Bitcoin-Compatible Virtual Channels
    Lukas Aumayr, Matteo Maffei, Oğuzhan Ersoy, Andreas Erwig, Sebastian Faust, Siavash Riahi, Kristina Hostáková, and Pedro Moreno-Sanchez
    In IEEE Symposium on Security and Privacy 2021
    Blockchain Security and Privacy

2020

  1. DAM
    Homomorphic extensions of CRT-based secret sharing
    Oğuzhan Ersoy, Thomas Brochmann Pedersen, and Emin Anarim
    Discrete Applied Mathematics 2020
    Cryptography
  2. ESORICS
    Post-Quantum Adaptor Signatures and Payment Channel Networks
    Muhammed F. Esgin, Oğuzhan Ersoy, and Zekeriya Erkin
    In ESORICS (2) 2020
    Blockchain Security and Privacy
  3. FC
    How to Profit from Payments Channels
    Oğuzhan Ersoy, Stefanie Roos, and Zekeriya Erkin
    In Financial Cryptography 2020
    Blockchain Incentives

2019

  1. IJISS
    Multilevel Threshold Secret Sharing based on the Chinese Remainder Theorem
    Oğuzhan Ersoy, Kamer Kaya, and Kerem Kaskaloglu
    International Journal of Information Security Science 2019
    Cryptography
  2. EuroS&PW
    TULIP: A Fully Incentive Compatible Blockchain Framework Amortizing Redundant Communication
    Oğuzhan Ersoy, Zekeriya Erkin, and Reginald L. Lagendijk
    In EuroS&P Workshops 2019
    Blockchain Incentives
  3. MARBLE
    Decentralized Incentive-Compatible and Sybil-Proof Transaction Advertisement
    Oğuzhan Ersoy, Zekeriya Erkin, and Reginald L. Lagendijk
    In MARBLE 2019
    Blockchain Incentives
  4. SAC
    DECOUPLES: a decentralized, unlinkable and privacy-preserving traceability system for the supply chain
    Mourad el Maouchi, Oğuzhan Ersoy, and Zekeriya Erkin
    In SAC 2019
    Blockchain Security and Privacy
  5. SAC
    MUSCLE: authenticated external data retrieval from multiple sources for smart contracts
    Bjorn van der Laan, Oğuzhan Ersoy, and Zekeriya Erkin
    In SAC 2019
    Blockchain Security and Privacy

2018

  1. CVCBT
    Transaction Propagation on Permissionless Blockchains: Incentive and Routing Mechanisms
    Oğuzhan Ersoy, Zhijie Ren, Zekeriya Erkin, and Reginald L. Lagendijk
    In CVCBT 2018
    Blockchain Incentives
  2. ERCIM-W
    TRADE: A transparent, decentralized traceability system for the supply chain
    Mourad el Maouchi, Oğuzhan Ersoy, and Zekeriya Erkin
    In Proceedings of 1st ERCIM Blockchain Workshop 2018
    Blockchain Security and Privacy

2016

  1. Asiacrypt
    Universal Forgery and Key Recovery Attacks on ELmD Authenticated Encryption Algorithm
    Asli Bay, Oğuzhan Ersoy, and Ferhat Karakoç
    In ASIACRYPT (1) 2016
    Cryptography
  2. SCN
    A CRT-based verifiable secret sharing scheme secure against unbounded adversaries
    Oğuzhan Ersoy, Thomas Brochmann Pedersen, Kamer Kaya, Ali Aydin Selçuk, and Emin Anarim
    Security and Communication Networks 2016
    Cryptography
  3. LightSec
    Impossible Differential Cryptanalysis of 16/18-Round Khudra
    Ferhat Karakoç,  Mut Sagdiçoglu, Mehmet Emin Gönen, and Oğuzhan Ersoy
    In LightSec 2016
    Cryptography