cryptocafe

Crypto Café at FAU Department of Mathematics and Statistics

Our regular Crypto Café seminars take place every other Tuesday,10 am-10:50 am during the semester. We invite local and international experts on topics in Mathematics and Computer Science related to Cryptography and Information Security.

Come and join us for freshly brewed coffee and interesting conversations on the most exciting topics in cryptography.

Where: SE-43 (Charles E. Schmidt College of Science) - Room 215 

https://researchseminars.org/seminar/CryptoCafe


You can catch up on any missed meetings by following the link below:

Upcoming Presentations

Fall, 2025, Crypto Cafe Schedule:

November 25, 2025, 10:00 am  Science Building (SE-43), room 215

Speaker:  Arindam Mukherjee, Assistant Professor in Mathematics at A.M. College, Jhalda, India.      FLYER

Title: The Representation Technique for Small Max-Norm LWE

Abstract: The Representation Technique, originally introduced by Howgrave-Graham and Joux in the context of the Subset Sum problem, has since become a powerful tool in algorithmic cryptanalysis. It was later adapted for Information Set Decoding (ISD). Currently, the state-of-the-art algorithms to counter subset sum and syndrome decoding problems make use of the representation technique in some form. Recently, May (Crypto 2021) proposed a representation-based attack against small max-norm LWE. This work was later improved in Asiacrypt 2023 and JoC 2024 (https://eprint.iacr.org/2023/243).
In this talk, we will give an overview of the representation technique and its impact on the small max-norm LWE problem.

Bio: Arindam Mukherjee works in public-key cryptanalysis, with a focus on post-quantum hardness assumptions. He received his MSc and PhD in Mathematics from IIT Madras, Chennai, India. He is currently an Assistant Professor in Mathematics at A.M. College, Jhalda, India.

https://researchseminars.org/seminar/CryptoCafe

Recent Presentations

October 14, 2025, 10:00 am  Science Building (SE-43), room 215

Speaker:  Anil Kumar Pradhan, Founding Cryptographer and Cryptography Research Lead, Vaultree    FLYER

Title: Beyond Theory: Industry Challenges in Adopting Homomorphic Encryption

Abstract: Fully Homomorphic Encryption (FHE) promises quantum-resilient, privacy-preserving computation for sensitive data across industries. However, despite academic breakthroughs, the leap from laboratory models to enterprise-scale adoption remains daunting. Industry faces formidable obstacles, including computational resource demands, implementation complexity, slow processing speeds, and high costs, aggravated by a shortage of FHE talent and lack of standardized practices. Integrating FHE into legacy and cloud systems requires an extensive technical overhaul, often with questionable ROI. The disconnect between academic solutions and practical business needs, especially regarding scalability, cost, and integration continues to deter widespread implementation. Emerging technologies and optimization strategies, such as hardware acceleration and real-world application benchmarking, may help bridge the gap, but genuine adoption will require collaborative efforts and a shift in focus from theoretical promise to operational feasibility. Bio

Anil Kumar Pradhan is a cryptographer specializing in practical privacy-enhancing technologies and their deployment in real-world systems. At Vaultree, he works at the intersection of advanced cryptography and industry adoption, focusing on fully homomorphic encryption (FHE), encrypted machine learning, and secure computation at scale. With a background spanning both academic research and enterprise engineering, he bridges the gap between theoretical innovation and operational feasibility. Anil has contributed to projects that bring cutting-edge cryptographic methods into production environments, with particular attention to performance optimization, compliance, and developer experience. He is passionate about making strong cryptography usable, scalable, and impactful across industries that handle sensitive data.

Anil Kumar Pradhan is the Founding Cryptographer and Cryptography Research Lead at Vaultree Ireland, and has over a decade of experience in applied cryptography. He holds an M.Sc. in Mathematics from the Indian Institute of Technology, Delhi, and a B.Sc. (Hons) in Mathematics and Computing from the Institute of Mathematics and Applications, Bhubaneswar.

https://researchseminars.org/seminar/CryptoCafe

Video recording


October 28, 2025, 10:00 am  Science Building (SE-43), room 215

Speaker: Dr. Sohyun Jeon, Ewha Womans University 

Title:  LastRings: Lattice-based Scalable Threshold Ring Signatures      FLYER

Abstract:  This talk presents the first lattice-based threshold ring signature scheme with signature size scaling logarithmically in the size of the ring while supporting arbitrary thresholds. Our construction is also concretely efficient, achieving signature sizes of less than 150kB for ring sizes up to N=4096 (with threshold size T=N/2, say). This is substantially more compact than previous work.

Our approach is inspired by the recent work of Aardal et al. (CRYPTO 2024) on the compact aggregation of Falcon signatures, that uses the LaBRADOR lattice-based SNARKs to combine a collection of Falcon signatures into a single succinct argument of knowledge of those signatures. We proceed in a similar way to obtain compact threshold ring signatures from Falcon, but crucially require that the proof system be zero-knowledge in order to ensure the privacy of signers. Since LaBRADOR is not a zkSNARK, we associate it with a separate (non-succinct) lattice-based zero-knowledge proof system to achieve our desired properties.

Bio: Sohyun Jeon recently completed a PhD at Ewha Womans University in the Republic of Korea. Research interests are lattice-based cryptography. In particular, she is interested in zero-knowledge proofs and their applications

https://researchseminars.org/seminar/CryptoCafe