Key papers

• Temporary Power Adjusting Withholding Attack (2026)
  Mustafa Doger and Sennur Ulukus
  1.78
• Infinitely divisible privacy and beyond I: resolution of the s²=2k conjecture (2025)
  Aaradhya Pandey et al.
  1.56
• Confidentiality in a Card-Based Protocol Under Repeated Biased Shuffles (2025)
  Do Hyun Kim et al.
  1.50
• Incentive Attacks in BTC: Short-Term Revenue Changes and Long-Term Efficiencies (2025)
  Mustafa Doger and Sennur Ulukus
  1.50
• Are Neural Networks Collision Resistant? (2025)
  Marco Benedetti et al.
  1.39
• An Incentive-Compatible Semi-Parallel Proof-of-Work Protocol (2025)
  Mustafa Doger and Sennur Ulukus
  1.33
• Private Evolution Converges (2025)
  Tom\'as Gonz\'alez et al.
  1.22
• Extending the ElGamal Cryptosystem to the Third Group of Units of _n (2025)
  Jana Hamza et al.
  1.11
• Optimizing the Privacy-Utility Balance using Synthetic Data and Configurable Perturbation Pipelines (2025)
  Anantha Sharma et al.
  1.11
• When Should Selfish Miners Double-Spend? (2025)
  Mustafa Doger and Sennur Ulukus
  0.94
• Optimal Private Median Estimation under Minimal Distributional Assumptions (2020)
  Christos Tzamos et al.
  —
• Multi-Layered Blockchain Governance Game (2021)
  Song-Kyoo Kim
  —
• Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data (2021)
  March Boedihardjo et al.
  —
• Sensitivity-Based Optimization for Blockchain Selfish Mining (2021)
  Jing-Yu Ma et al.
  —
• On anti-stochastic properties of unlabeled graphs (2021)
  Sergei Kiselev et al.
  —
• Private measures, random walks, and synthetic data (2022)
  March Boedihardjo et al.
  —
• PRIVIC: A privacy-preserving method for incremental collection of location data (2022)
  Sayan Biswas et al.
  —
• A New Outlook on the Profitability of Rogue Mining Strategies in the Bitcoin Network (2022)
  Pantelis Tassopoulos et al.
  —
• Stability Via Adversarial Training of Neural Network Stochastic Control of Mean-Field Type (2022)
  Julian Barreiro-Gomez and Salah Eddine Choutri and Boualem Djehiche
  —
• Building Resilience in Cybersecurity -- An Artificial Lab Approach (2022)
  Kerstin Awiszus et al.
  —
• Block withholding resilience (2022)
  Cyril Grunspan et al.
  —
• Algorithmically Effective Differentially Private Synthetic Data (2023)
  Yiyun He et al.
  —
• Algorithms for Reconstructing DDoS Attack Graphs using Probabilistic Packet Marking (2023)
  Dina Barak-Pelleg et al.
  —
• The Time for Reconstructing the Attack Graph in DDoS Attacks (2023)
  Dina Barak-Pelleg and Daniel Berend
  —
• Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets (2023)
  Yiyun He et al.
  —
• Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance (2023)
  Jordan Awan and Aishwarya Ramasethu
  —
• Are Normalizing Flows the Key to Unlocking the Exponential Mechanism? (2023)
  Robert A. Bridges et al.
  —
• Enhancing Ethereum's Security with LUMEN, a Novel Zero-Knowledge Protocol Generating Transparent and Efficient zk-SNARKs (2023)
  Yunjia Quan
  —
• A Holistic Approach for Bitcoin Confirmation Times & Optimal Fee Selection (2024)
  Rowel G\"undlach et al.
  —
• Three variations of Heads or Tails Game for Bitcoin (2024)
  Cyril Grunspan et al.
  —
• Voting by mail: a Markov chain model for managing the security risks of election systems (2024)
  Carmen A. Haseltine and Laura A. Albert
  —