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28 November 2022
Technology Innovation Institute (TII) - Abu Dhabi, UAE
Job PostingTechnology Innovation Institute (TII) is a recently-established publicly-funded research institute in Abu Dhabi (UAE). It is home to a diverse community of leading scientists and engineers from across the globe.
Job DescriptionWe are looking for permanent researchers to join the Cryptographic Protocols team within the Cryptography Research Center (CRC) at TII. The main aim of the team is to conduct applied academic research in areas relating to cryptographic protocols, such as: TLS, QUIC, Tor, Key Exchange, Secure Channels, Cryptographic Primitives, Privacy Enhancing Technologies, MLS and Secure Messaging, and Probabilistic Data Structures in Adversarial Environments. The nature of the research spans both theory and practice, covering aspects such as provable security, security models, efficient designs, implementation aspects, and attacks.
Applicants should have completed (or be close to completing) their PhD in a related area, and postdoctoral research experience will be valued. Preference will be given to applicants with publications in top-tier venues such as CRYPTO, EUROCRYPT, ASIACRYPT, ACM CCS, IEEE S&P, and USENIX.
Required Skills:- Fluency in English (verbal and written) and an ability to communicate research effectively.
- Good problem-solving skills and an ability to conduct research independently.
- Good interpersonal and collaborative skills.
- Solid knowledge in cryptography.
- Research experience in Key Exchange, Signatures, Onion Routing, Privacy-Enhancing Technologies, and Zero Knowledge.
- Programming, Software Engineering, experience in implementing cryptographic primitives and attacks on real-world cryptosystems, reverse engineering of closed-source protocols.
- Vibrant working environment, flexible working conditions, and travel funding.
- Industry-competitive tax-free salary.
- Family-wide health insurance and children’s education allowance.
- Sunshine all year round.
Closing date for applications:
Contact: Jean Paul Degabriele (jeanpaul.degabriele@tii.ae).
27 November 2022
Royal Holloway, University of London
Job PostingThe Centre for Doctoral Training (CDT) at Royal Holloway, University of London seeks to recruit PhD students to work in the area of cryptography. Examples for potential topics include:
- Foundations of Witness Encryption and Smart Encryption (supervised by Saqib Kakvi)
- Secure Coded Caching (supervised by Siaw-Lynn Ng)
- Applications of Time and Delay in Cryptographic Protocols (supervised by Elizabeth Quaglia)
- Privacy-Preserving Applications based on Secure Multi-Party Computation (supervised by Christian Weinert)
The crypto team at Royal Holloway, as part of the Information Security Group (ISG), has a strong track record in cryptographic research, including algorithm design and analysis, post-quantum cryptography, homomorphic encryption, and applications of secure computation.
Applicants are expected to have a background in mathematics, computer science, or a related discipline. Prospective applicants are welcome to contact CDT administrator Claire Hudson (CyberSecurityCDT@rhul.ac.uk) or any member of staff they might be interested to work with. For more information about the crypto team, please visit our website [2].
The CDT can offer approximately ten studentships per year, three of which can be awarded to international students (including EU and EEA). Please ensure you are familiar with the eligibility criteria set by UKRI and their terms and conditions. In order to apply, please visit the CDT website [3] and follow the application instructions. The studentship includes a (tax-free) maintenance of £23,668.00 for each academic year.
[1] https://www.findaphd.com/phds/information-security-group/?c0MPwk50
[2] https://cryptography.isg.rhul.ac.uk
[3] https://www.royalholloway.ac.uk/cdt
Closing date for applications:
Contact: CyberSecurityCDT@rhul.ac.uk
Eötvös Loránd University
Job Posting- CV
- Motivation Letter
- Two recommendation letters (these should be sent by the recommending person directly to the above e-mail address)
Please send your applications by 31st January 2023.
Closing date for applications:
Contact: Péter Kutas (kuppabt@inf.elte.hu)
Department of Computer Science, School of Engineering, Universidad Catolica de Chile
Job PostingClosing date for applications:
Contact: Marcelo Arenas, marenas@ing.puc.cl
More information: https://www.ing.uc.cl/trabaja-con-nosotros/areas-to-apply-2/
Department of Computer Science, University of Luxembourg
Job Posting
A postdoctoral position is available in the APSIA research group (led by Prof. Peter Y. A. Ryan) in the Department of computer Science at the University of Luxembourg. The successful candidate is expected to do research in line with ‘’quantum safe proofs’’ (QSP) project funded by Luxembourg National Research Fund.
The successful candidate will conduct the QSP project in collaboration with Prof. Peter Y. A. Ryan, Prof. Anne Broadbent (University of Ottawa, Canada) and Dr. Ehsan Ebrahimi (PI, University of Luxemburg).
The duration of the position is two years. The yearly gross salary for every Postdoctoral researcher at the UL is around EUR 77167 (full time) . The starting date would be as early as 02.01.2023 (Feb 2023).
The successful candidate will conduct the following tasks:
- Research on post-quantum security of proof systems and its impact to applications like cryptocurrencies and electronic voting systems.
- Research on Quantum Proof Systems: for instance, complexity classes QMA, QIP, etc.
- Participate in teaching tasks and Ph.D. and M.Sc. students supervisions
- Collaboration with writing progress reports
- A Ph.D. degree in Computer Science, Mathematics or Physics with the focus on Cryptography and its intersection with Quantum Computation & Information.
- Experience working on quantum-secure proof systems or quantum proof systems is a plus
- Competitive research record in cryptography or quantum computation & information
- Strong mathematical CS background
- Fluent written and verbal communication skills in English are required
Closing date for applications:
Contact: Ehsan Ebrahimi, ehsan.ebrahimi@uni.lu
National University of Singapore, Singapore
Job PostingClosing date for applications:
Contact: prashant@comp.nus.edu.sg
More information: https://www.comp.nus.edu.sg/~prashant/ads.html
University of Surrey, UK
Job PostingWe’re looking for two PhD students in one the following research directions (but not limited to): e-voting, applied cryptography, postquantum cryptography, provable security, privacy-preserving technologies, and formal verification. The PhD will be under the supervision of Dr. Catalin Dragan. International candidates are welcomed to apply. Final Year BSc students can apply.
Position 1: Department of Computer Science Studentship. The application deadline is 6th January 2023, with a start date of October 2023. Applications are made via CS application page https://www.surrey.ac.uk/postgraduate/computer-science-phd.
Position 2: University of Surrey’s Breaking Barriers Studentship award. The application deadline is 16 December 2022, with a start date of October 2023. More information is available on https://www.surrey.ac.uk/fees-and-funding/studentships/breaking-barriers-studentship-award-2023.
The applications typically requiring CV, cover letter, transcripts, and references. However, we strongly encourage candidates to contact Catalin for an informal chat before applying (there is no need to submit any documents for this). The PhD studentships comes with a stipend of £17.5K – £19K per annum plus tuition fees covered for the duration of 3.5 years
Closing date for applications:
Contact: Dr. Cătălin Drăgan (c.dragan@surrey.ac.uk)
More information: https://www.surrey.ac.uk/postgraduate/computer-science-phd
Mid Sweden University
Job PostingClosing date for applications:
Contact: Professor Mikael Gidlund
More information: https://www.miun.se/en/work-at-the-university/career/jobs/vacancy/postdoc-in-trustworthy-edge-computing/
Aztec
Job PostingClosing date for applications:
Contact: travis@aztecprotocol.com
More information: https://boards.eu.greenhouse.io/aztec/jobs/4099676101
25 November 2022
Shresth Agrawal, Joachim Neu, Ertem Nusret Tas, Dionysis Zindros
ePrint ReportHuina Li, Guozhen Liu, Haochen Zhang, Kai Hu, Jian Guo, Weidong Qiu
ePrint ReportChristina Boura, Nicolas David, Patrick Derbez, Gregor Leander, María Naya-Plasencia
ePrint ReportAlexandre Augusto Giron, João Pedro Adami do Nascimento, Ricardo Custódio, Lucas Pandolfo Perin
ePrint ReportGeorge Teseleanu
ePrint ReportAayush Jain, Huijia Lin, Paul Lou, Amit Sahai
ePrint ReportIt is important to identify the simplest possible conjectures that yield post-quantum $i\mathcal{O}$ and can be understood through known cryptanalytic tools. In that spirit, and in light of the cryptanalysis of Hopkins et al., recently Devadas et al. gave an elegant construction of $i\mathcal{O}$ from a fully-specified and simple-to-state assumption along with a thorough initial cryptanalysis.
Our work gives a polynomial-time distinguisher on their "final assumption" for their scheme. Our algorithm is extremely simple to describe: Solve a carefully designed linear system arising out of the assumption. The argument of correctness of our algorithm, however, is nontrivial.
We also analyze the "T-sum" version of the same assumption described by Devadas et. al. and under a reasonable conjecture rule out the assumption for any value of $T$ that implies $i\mathcal{O}$.
Dan Boneh, Chelsea Komlo
ePrint ReportMichiel Van Beirendonck, Jan-Pieter D'Anvers, Ingrid Verbauwhede
ePrint ReportWe present FPT, a Fixed-Point FPGA accelerator for TFHE bootstrapping. FPT is the first hardware accelerator to heavily exploit the inherent noise present in FHE calculations. Instead of double or single-precision floating-point arithmetic, it implements TFHE bootstrapping entirely with approximate fixed-point arithmetic. Using an in-depth analysis of noise propagation in bootstrapping FFT computations, FPT is able to use noise-trimmed fixed-point representations that are up to 50% smaller than prior implementations using floating-point or integer FFTs.
FPT's microarchitecture is built as a streaming processor inspired by traditional streaming DSPs: it instantiates high-throughput computational stages that are directly cascaded, with simplified control logic and routing networks. We explore different throughput-balanced compositions of streaming kernels with a user-configurable streaming width in order to construct a full bootstrapping pipeline. FPT's streaming approach allows 100% utilization of arithmetic units and requires only small bootstrapping key caches, enabling an entirely compute-bound bootstrapping throughput of 1 BS / 35$\mu$s. This is in stark contrast to the established classical CPU approach to FHE bootstrapping acceleration, which tends to be heavily memory and bandwidth-constrained.
FPT is fully implemented and evaluated as a bootstrapping FPGA kernel for an Alveo U280 datacenter accelerator card. FPT achieves almost three orders of magnitude higher bootstrapping throughput than existing CPU-based implementations, and 2.5$\times$ higher throughput compared to recent ASIC emulation experiments.
Tianyu Zhaolu, Zhiguo Wan, Huaqun Wang
ePrint ReportAlexandre Belling, Azam Soleimanian
ePrint ReportSanjam Garg, Abhishek Jain, Pratyay Mukherjee, Rohit Sinha, Mingyuan Wang, Yinuo Zhang
ePrint ReportIn this work, we consider {\em weighted} cryptosystems where every party is assigned a certain weight and the trust assumption is that a certain fraction of the total weight is honest. This setting can be translated to the standard setting (where each party has a unit weight) via virtualization. However, this method is quite expensive, incurring a multiplicative overhead in the weight.
We present new weighted cryptosystems with significantly better efficiency. Specifically, our proposed schemes incur only an {\em additive} overhead in weights.
\begin{itemize} \item We first present a weighted ramp secret-sharing scheme where the size of the secret share is as short as $O(w)$ (where $w$ corresponds to the weight). In comparison, Shamir's secret sharing with virtualization requires secret shares of size $w\cdot\lambda$, where $\lambda=\log |\mathbb{F}|$ is the security parameter. \item Next, we use our weighted secret-sharing scheme to construct weighted versions of (semi-honest) secure multiparty computation (MPC), threshold encryption, and threshold signatures. All these schemes inherit the efficiency of our secret sharing scheme and incur only an additive overhead in the weights. \end{itemize}
Our weighted secret-sharing scheme is based on the Chinese remainder theorem. Interestingly, this secret-sharing scheme is {\em non-linear} and only achieves statistical privacy. These distinct features introduce several technical hurdles in applications to MPC and threshold cryptosystems. We resolve these challenges by developing several new ideas.