all InfoSec news
Bridging Quantum Computing and Differential Privacy: A Survey on Quantum Computing Privacy
March 15, 2024, 4:10 a.m. | Yusheng Zhao, Hui Zhong, Xinyue Zhang, Chi Zhang, Miao Pan
cs.CR updates on arXiv.org arxiv.org
Abstract: Quantum computing has attracted significant attention in areas such as cryptography, cybersecurity, and drug discovery. Due to the advantage of parallel processing, quantum computing can speed up the response to complex challenges and the processing of large-scale datasets. However, since quantum computing usually requires sensitive datasets, privacy breaches have become a vital concern. Differential privacy (DP) is a promising privacy-preserving method in classical computing and has been extended to the quantum domain in recent years. …
arxiv attention can challenges computing cryptography cs.cr cybersecurity datasets differential privacy discovery drug drug discovery large parallel privacy quant-ph quantum quantum computing response scale speed speed up survey
More from arxiv.org / cs.CR updates on arXiv.org
IDEA: Invariant Defense for Graph Adversarial Robustness
1 day, 11 hours ago |
arxiv.org
FairCMS: Cloud Media Sharing with Fair Copyright Protection
1 day, 11 hours ago |
arxiv.org
Efficient unitary designs and pseudorandom unitaries from permutations
1 day, 11 hours ago |
arxiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Principal Security Analyst - Threat Labs (Position located in India) (Remote)
@ KnowBe4, Inc. | Kochi, India
Cyber Security - Cloud Security and Security Architecture - Manager - Multiple Positions - 1500860
@ EY | Dallas, TX, US, 75219
Enterprise Security Architect (Intermediate)
@ Federal Reserve System | Remote - Virginia
Engineering -- Tech Risk -- Global Cyber Defense & Intelligence -- Associate -- Dallas
@ Goldman Sachs | Dallas, Texas, United States
Vulnerability Management Team Lead - North Central region (Remote)
@ GuidePoint Security LLC | Remote in the United States