Visible to the public Science of Security VO

Open for Nominations - Submission Period Extended!
The 8th Annual Best Scientific Cybersecurity Paper Competition is now open for nominations. This year's nominating period runs through midnight on March 31, April 15, 2020. We look forward to receiving your nominations.
Open for Nominations - Submission Period Extended!
Upcoming Events Worth Checking Out
The lastest information on all upcoming science of security related events.
Upcoming Events Worth Checking Out
CMU is the NSA Featured School of the Quarter
Each quarter, The National Security Agency recognizes the agency's engagement with an academic institution. This quarter, the school is Carnegie Mellon University in Pittsburgh, PA. CMU has many relationships with the NSA including hosting an SoS Lablet. To learn more about the CMU / NSA relationship, visit NSA.gov:...
CMU is the NSA Featured School of the Quarter
HoTSoS 2020
7th Annual Hot Topics in the Science of Security (HoTSoS) Symposium September 22-23, 2020 | Lawrence, Kansas | https://cps-vo.org/group/hotsos HoTSoS is a research event centered on the Science of Security, which aims to address the fundamental problems of security in a principled manner. The seventh annual HoTSoS event...
HoTSoS 2020
50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020)
COVID-19 Information In light of the recent developments concerning the COVID-19, the Steering Committee is currently exploring different options and contingency plans depending on how the situation will evolve, including rescheduling the conference. In any case all papers accepted in the different tracks will be...
50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020)
NCSU Lablet PI Wins 2020 ACM/SIGAI Autonomous Agents Research Award
Professor Munindar Singh was recognized with the 2020 ACM/SIGAI Autonomous Agents Research Award. This award acknowledges the contributions of outstanding researchers in the field of autonomous agents, and is granted each year to one individual whose work is influencing and setting the direction for the field. For more...
NCSU Lablet PI Wins 2020 ACM/SIGAI Autonomous Agents Research Award
Reviews & Outreach Subscription
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Reviews & Outreach Subscription
Human Factors and Ergonomics Society (HFES) - Call for Papers
Human Factors and Ergonomics Society (HFES) - Call for Papers HFES is looking for submissions of research and practice related to the human and cybersecurity! HFES is interested in building a broad community between human and cyber experts. The HFES society has added a CyberTechnical Group which will be accepting papers...
Human Factors and Ergonomics Society (HFES) - Call for Papers





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  • Resolving the Trilemma in Logic Encryption
    Abstract: Logic encryption, a method to lock a circuit from unauthorized use unless the correct key is provided, is the most important technique in hardware IP protection. However, with the discovery of the SAT attack, all traditional logic encryption algorithms are broken. New algorithms after the SAT... more
  • A Critical Evaluation of the Paradigm Shift in the Design of Logic Encryption Algorithms
    Abstract: The globalization of the integrated circuit supply chain has given rise to major security concerns ranging from intellectual property piracy to hardware Trojans. Logic encryption is a promising solution to tackle these threats. Recently, a Boolean satisfiability attack capable of unlocking existing... more
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  • Code-based Pseudorandom Generator for the Post-Quantum Period
    Abstract: This paper focuses on research of a provably secure code-based pseudorandom sequence generators whose cryptanalysis problem equals to syndrome decoding (belonging to the NP-complex class). It was found that generated sequences of such well-known Fischer-Stern code-based generator don’t have a... more
  • Membership Inference Attacks Against Adversarially Robust Deep Learning Models
    Abstract: In recent years, the research community has increasingly focused on understanding the security and privacy challenges posed by deep learning models. However, the security domain and the privacy domain have typically been considered separately. It is thus unclear whether the defense methods in one... more
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