IACR News
Here you can see all recent updates to the IACR webpage. These updates are also available:
04 February 2022
Indian Institute of Technology Delhi (Workplace: IIT Bhilai, Raipur, Chhattisgarh, INDIA)
Applications are invited from Indian nationals for the positions of “Junior Research Fellow.”
Number of Positions: One (1)
Salary : 31,000 per month + 24% HRA
Qualifications:
1ST class Post Graduate Degree in Basic Science with NET* qualification or Graduate Degree in Professional Course with NET* qualification or Post Graduate Degree in Professional Course with NET* qualification.
Desired Qualifications:
a. Degree in computer Science with coding proficiency and any other working experience relevant to the projects.
b. Have some familiarity with one or more of the following: Cryptography, UAS, 5G Security.
c. Special preference will given to people who have prior experience working with 5G standard.
*The requirement of qualifying NET/GATE examination for the selection to the post of JRF/SRF may be relaxed for the candidates who have graduate from Centrally Funded Technical Institute (CFTIs) with a CGPA of more than 8.000 (80% aggregate marks)
How to Apply: Candidates should only apply using the application form download the given link.(https://ird.iitd.ac.in/sites/default/files/ird_nforms/ird_rec_4.pdf)
A duly completed application form along with the candidate’s detailed CV must be mailed at: 5g.bhartischool@gmail.com
The last date for submitting the completed applications by e-mail is 10/02/2022 by 5.00 pm
Closing date for applications:
Contact:
Dr. Dhiman Saha
Assistant Professor
Department of EECS, IIT Bhilai
Email: decipheredlab@iitbhilai.ac.in, get@de.ci.phe.red
For more info on the research group visit: http://de.ci.phe.red
More information: https://lnkd.in/gNfMQ7PB
Brandenburg University of Technology Cottbus–Senftenberg
Our chair performs research and teaching in the area of IT Security with a strong focus on Network Security and Online Privacy. Our goal is to advance the state of the art in research and to educate qualified computer scientists in the area of IT Security who are able to meet the challenges of the growing demand on securing IT Systems and provide data protection in various areas of our life and society
Tasks:
- Active research in the area of intrusion detection systems (IDS) for critical infrastructures, secure cyber-physical systems, and artificial intelligence / machine learning for traffic analysis
- Implementation and evaluation of new algorithms and methods
- Cooperation and knowledge transfer with industrial partners
- Publication of scientific results
- Assistance with teachingy
The employment takes place with the goal of doctoral graduation (obtaining a PhD degree).
Requirements:
- Master’s degree (or equivalent) in Computer Science or related disciplines
- Strong interest in IT security and/or networking and distributed systems
- Knowledge of at least one programming language (C++, Java, etc.) and one scripting language (Perl, Python, etc.) or strong willingness to quickly learn new programming languages
- Linux/Unix skills
- Knowledge of data mining, machine learning, statistics and result visualization concepts is of advantage
- Excellent working knowledge of English; German is of advantage Excellent communication skills
Applications containing the following documents:
- A detailed Curriculum Vitae
- Transcript of records from your Master studies
- An electronic version of your Master thesis, if possible should be sent in a single PDF file as soon as possible, but not later than 20.02.2022 at itsec-jobs.informatik@lists.b-tu.de.
Closing date for applications:
Contact: Andriy Panchenko
More information: https://www.b-tu.de/en/fg-it-sicherheit
Carl von Ossietzky University of Oldenburg, Department of Computer Science; Oldenburg, Germany
The Safety-Security-Interaction (SSI) group at the Carl von Ossietzky University of Oldenburg invites applications for a full-time position as Doctoral Researcher (Research Assistant/Ph.D. Student) in the domain of Cybersecurity for an initial period of 3 years.
More information: https://uol.de/en/jobs?stelle=68597
Deadline for applications: 21 February 2022, 23:59 CET
Closing date for applications:
Contact: Prof. Dr. Andreas Peter (andreas.peter@uol.de)
More information: https://uol.de/en/jobs?stelle=68597
Genoa, Italy, 10 June 2022
Submission deadline: 4 March 2022
Notification: 8 April 2022
Leuven, Belgium, 18 September - 21 September 2022
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Submission deadline: 15 June 2022
Notification: 24 August 2022
Valletta, Malta, 25 April - 29 April 2022
Submission deadline: 18 February 2022
Notification: 4 March 2022
The registration for PKC 2022 is now open: https://pkc.iacr.org/2022/registration.php
Registration is free for IACR members; non-IACR members will be asked to pay the IACR membership fee during registration.
01 February 2022
University College Cork, Ireland
The School of Computer Science & Information Technology (CSIT) seeks to appoint a lecturer (assistant professor) in Computer Science (Cybersecurity) to complement and strengthen the Schools’ research and teaching interests. Computer security has been a topic of research and teaching in the School for over thirty years. The school continues to grow with the appointment of new staff with cyber security expertise, introduction of new courses, and significant development of our cybersecurity research portfolio.
The school strategy is to expand its research and teaching in the area of Cybersecurity and candidates with such expertise are encouraged to apply. The School seeks to appoint a committed computer science academic, a dynamic and thoughtful individual who will contribute to its research-led teaching ethos and research agenda.
The School of CSIT has 32 full-time academic staff and offers degrees at bachelors, masters and doctoral level. It offers a welcoming and open working environment, with excellent administrative and technical support, and an inclusive collegiate experience. Academic staff in the school have leadership roles in major national and international research initiatives, including the SFI funded research centers CONNECT (Centre for Future Networks and Communications), CONFIRM (Centre for Smart Manufacturing), Insight (Centre for Data Analytics), LERO (Irish Software Research Centre), and the SFI research spokes BAV (Blended Autonomous Vehicles) and ENABLE (Smart Communities). In addition, school academics lead and host the SFI Centre for Research Training in Advanced Networks for Sustainable Societies and the SFI Centre for Research Training in Artificial Intelligence. The Cork area is home to a cybersecurity cluster of about 25 companies, including multinationals that are well-known for their security products and services, many of whom the School engages with for student internships, research sponsorship and collaboration.
Candidates should apply before 12 noon (Irish Local Time) on Tuesday, 22nd February 2022
Closing date for applications:
Contact: Informal enquiries can be made, in confidence, to the Head of School, Professor Utz Roedig: u.roedig@ucc.ie
Applications must be submitted online via the University College Cork vacancy portal: https://ore.ucc.ie/
More information: https://www.ucc.ie/en/compsci/vacancies/
The University of Manchester, Department of Computer Science, Manchester, UK
We are looking for a research associate to join an ambitious project (EnnCore - https://enncore.github.io/) in the space of Secure and Privacy-preserving AI Models.
You will enjoy designing, developing and evaluating novel AI models (deep neural networks) that are privacy-preserving and robust against attacks. The project will involve the continuous interaction with experts in explainable AI and formal software verification. You will also have the opportunity to build, use cases and to collaborate with domain experts in areas such as cancer research and energy trading. You will design, develop and evaluate new models in the context of their accuracy, privacy-protection and robustness. This position may include research on a diverse set of techniques such as federated learning, homomorphic encryption, multiparty computation and adversarial methods.
The post is initially for one year, with the possibility for extensions. Interviews are anticipated to take place a week after the closing date.
You should have a PhD in Computer Science or a closely related field together with a track record of international publications in applied machine learning or secure computation. Examples of fields of interests are:
- Federated Learning
- Homomorphic Encryption
- Secure Multiparty Computation
- Differential Privacy
- Safety Mechanisms in AI Systems
- Adversarial Methods
Closing date for applications:
Contact: Mustafa A. Mustafa: mustafa.mustafa[at]manchester.ac.uk
More information: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=21631
SupraOracles
Closing date for applications:
Contact: Lee
More information: https://boards.greenhouse.io/supraoracles/jobs/4278334004
31 January 2022
Kosei Sakamoto, Fukang Liu, Yuto Nakano, Shinsaku Kiyomoto, Takanori Isobe
Zilin Liu, Anjia Yang, Jian Weng, Tao Li, Huang Zeng, Xiaojian Liang
Ziaur Rahman, Xun Yi, Ibrahim Khalil
Theodore Bugnet, Alexei Zamyatin
Cross-chain communication requires a trusted third party, as the Fair Exchange problem is reducible to it. However, the decentralised consensus of blockchains can be used as a source of trust, and financial incentives can achieve security. XCLAIM uses these principles to enable collateralised cryptocurrency-backed assets to be created and used. However, full collateralization is inefficient, and to protect against exchange rate fluctuations overcollateralization is necessary. This is a significant barrier to scaling, and as a result, in practice, most systems still employ a centralised architecture.
In this work, we introduce XCC, an extension to the XCLAIM framework which allows for a significant reduction in collateral required. By making use of periodic, timelocked commitments on the backing blockchain, XCC decouples locked collateral from issued CBAs, allowing fractional collateralization without loss of security. We instantiate XCC between Bitcoin and Ethereum to showcase practical feasibility. XCC is compatible with the majority of existing blockchains without modification.
Amin Abdulrahman, Vincent Hwang, Matthias J. Kannwischer, Daan Sprenkels
Our optimizations affect the core polynomial arithmetic using the number-theoretic transform (NTT) of both schemes. Our main contributions are threefold: We present a faster signed Barrett reduction for Kyber, propose to switch to a smaller prime modulus for the polynomial multiplications \(c\mathbf{s}_1\) and \(c\mathbf{s}_2\) in the signing procedure of Dilithium, and apply various known optimizations to the polynomial arithmetic in both schemes. Using a smaller prime modulus is particularly interesting as it allows using the Fermat number transform resulting in especially fast code.
We outperform the state-of-the-art for both Dilithium and Kyber. For Dilithium, our NTT and iNTT are faster by 5.2% and 5.7%. Switching to a smaller modulus results in speed-up of 33.1%-37.6% for the relevant operations (sum of basemul and iNTT) in the signing procedure. For Kyber, the optimizations results in 15.9%-17.8% faster matrix-vector product which presents the core arithmetic operation in Kyber.