openalex_id,contribution_type,description,judged_from,bib_key
2915352631,engineering,RFC 8446: specification of TLS 1.3 (IETF standards track); the most cited applied-cryptography document of the baseline period,abstract,rescorla2018tls13
2913851998,survey,NIST IR 8240: status report on the first round of the post-quantum standardisation process,abstract,nist2019pqcround1
4226075590,survey,NIST IR 8413: third-round status report announcing the post-quantum selections (July 2022),abstract,nist2022pqcround3
4401459825,engineering,FIPS 203: ML-KEM standard; security related to Module-LWE; 'believed to be secure' against quantum adversaries,abstract,nist2024fips203
4401442713,engineering,FIPS 204: ML-DSA digital signature standard,abstract,nist2024fips204
4365934498,method,Key-recovery attack on SIDH (title only; no abstract in the record),metadata,castryck2023sidh
4293168393,theory,2022 ACM reprint of Diffie and Hellman's 1976 New Directions in Cryptography; the record's abstract is the landing page (artefact),metadata,
2916447643,engineering,2026 duplicate record of TLS 1.3 whose abstract describes an earlier protocol version (artefact),metadata,
4214667959,survey,"Survey of blockchain technology and its security: consensus comparison, cryptographic components, risk analysis",abstract,guo2022blockchainsecurity
2970408908,method,Deep Leakage from Gradients: gradient inversion attack on federated updates (2020 LNCS reprint; no abstract in the record),metadata,zhu2020dlg
7154469464,method,Cryptanalysis of a chaos-based video cryptosystem; reports lack of standardisation in that sub-literature,abstract,
4413785573,engineering,Video segment encryption with a memristive neuron model (chaos-based sub-literature),abstract,
7134847443,engineering,Hyperchaos-based image encryption for consumer IoT (chaos-based sub-literature),abstract,
7124450903,survey,Survey of 203 papers on security and privacy attacks and defences in federated learning (Information Fusion 2026),abstract,jimenezgutierrez2026flsecurity
1598516026,empirical,2026 ResearchHub copy of the 2010 Scantegrity II municipal election case study (artefact),abstract,
1497727960,engineering,2026 repository record of the 2010 FLINT number-theory library (artefact),abstract,
4300127641,engineering,Hyperledger Fabric: modular open-source permissioned blockchain system (EuroSys 2018),abstract,androulaki2018fabric
2905867785,survey,Survey of consensus mechanisms and mining strategy management in blockchain networks,abstract,wang2019consensus
2892520153,survey,NIST IR 8202 blockchain technology overview,abstract,yaga2018blockchain
3123868249,empirical,Estimate of illegal activity financed through bitcoin (Review of Financial Studies),abstract,foley2019bitcoin
3122636688,theory,"Theory of blockchain disruption, decentralised consensus and smart contracts (Review of Financial Studies)",abstract,cong2019smartcontracts
2784387076,theory,Blockchains as an institutional technology (Journal of Institutional Economics),abstract,davidson2018institutions
2898069736,survey,Blockchain and sustainable supply chain management (critical examination),abstract,saberi2019supplychain
2606010969,survey,Blockchains for business process management: challenges and seven research directions,abstract,mendling2018bpm
3123722958,method,Ontology-driven blockchain design for supply-chain provenance,abstract,kim2018provenance
2965761488,survey,Blockchain in agriculture and food supply chains: projects and barriers,abstract,
2914735843,survey,"Blockchain-enabled smart contracts: architecture, applications and trends",abstract,
4320717855,survey,Blockchain for the metaverse: review (763 citations in 36 months),abstract,huynh2023metaverse
3162358200,survey,"NFT overview, evaluation, opportunities and challenges (arXiv preprint)",abstract,wang2021nft
4289548059,method,"Datalog-based detection of cross-function reentrancy from EVM traces, extending TxSpector (FMBC 2026)",abstract,guesmi2026reentrancy
4211068006,theory,"Bitcoin whitepaper, SSRN record dated 2022 (duplicate of nakamoto2008bitcoin; artefact)",metadata,nakamoto2008bitcoin
4248175462,theory,"Bitcoin whitepaper, SSRN record dated 2019 (duplicate; artefact)",metadata,nakamoto2008bitcoin
4405432346,theory,"Bitcoin whitepaper, SSRN record dated 2024 (duplicate; artefact)",metadata,nakamoto2008bitcoin
2460937040,empirical,Adversarial examples survive physical-world capture (2018 chapter reprint of the 2017 paper),abstract,kurakin2018physical
2789828921,benchmark,CIC-IDS2017 intrusion-detection dataset and traffic characterisation (no abstract in the record),metadata,
2624307925,survey,Survey of security and privacy issues of Bitcoin (IEEE COMST),abstract,conti2018bitcoinsecurity
2805930283,survey,Review of blockchain for the Internet of Things (IEEE Access),abstract,fernandez2018biot
2795085730,survey,Blockchain for healthcare cloud data security: position paper,abstract,esposito2018healthcare
2231944250,engineering,Enigma: decentralised secure-computation platform (2018 MIT Press chapter; belongs to privacy-preserving computation),abstract,
4406302454,survey,"Survey of security and privacy challenges of LLMs: jailbreaking, poisoning, PII leakage (ACM CSUR)",abstract,das2025llmsecurity
7129030749,survey,"Model Context Protocol: lifecycle (4 phases, 16 activities) and security threat taxonomy (ACM TOSEM 2026)",abstract,hou2026mcp
7130652904,method,"Vul-RAG: knowledge-level RAG for LLM vulnerability detection; base LLM accuracy 0.06-0.14, +16-24 points",abstract,du2026vulrag
4387210439,engineering,HuntGPT: ML anomaly detection with XAI and an LLM interface for threat hunting,abstract,ali2026huntgpt
7125967353,method,Fine-tuned RoBERTa phishing-email detector with explainability,abstract,uddin2026phishing
4301785137,method,"2026 SSRN preprint arguing persistent homology fails as a prompt-injection defence (no abstract; not peer-reviewed; NCS36 9,806)",metadata,
7139094415,method,Fedformer (time-series forecasting Transformer) misclassified as cybersecurity (artefact),abstract,
4353004773,survey,Venue-level record 'IEEE Symposium on Security and Privacy' (IT Professional 2023) counted as a work (artefact),metadata,
2912213068,theory,"Federated Machine Learning: horizontal, vertical and transfer FL framework (ACM TIST; most cited technical paper of the area)",abstract,yang2019fml
3018102029,method,SplitFed: combination of split learning and federated learning (AAAI 2022),abstract,thapa2022splitfed
7137155252,survey,Systematic review of differentially private federated learning (ACM CSUR 2026),abstract,fu2026dpfl
4412565294,survey,Survey of machine unlearning and the right to be forgotten (ACM TIST 2025),abstract,nguyen2025unlearning
4414891672,survey,Scoping review of differential privacy in medical deep learning (74 studies; epsilon trade-offs),abstract,mohammadi2026dpmedical
3036422000,survey,Survey of COVID-19 contact-tracing apps (IEEE Access 2020),abstract,ahmed2020tracingapps
3014084098,theory,Privacy analysis of contact-tracing apps (TraceTogether); arXiv preprint,abstract,cho2020tracing
4302383326,theory,Private information retrieval with side information (dissertation),abstract,
4408302972,empirical,AI and students' academic development (education; misclassified into privacy-preserving computation),abstract,
4407111324,survey,AI and student well-being mini-review (misclassified),abstract,
7127055292,survey,AI in higher education systematic review (misclassified),abstract,
4406636601,empirical,AI in auditing: 22 interviews (misclassified),abstract,
3045674654,empirical,Federated learning in medicine: multi-institutional collaboration without sharing patient data (Sci. Rep. 2020),abstract,sheller2020flmedicine
3018464563,method,FedHealth: federated transfer learning for wearable healthcare,abstract,chen2020fedhealth
3100779497,survey,Federated learning for healthcare informatics (no abstract in the record),metadata,xu2021flhealth
2995735216,method,q-FFL: fair resource allocation objective for federated learning (ICLR 2020; record without DOI),abstract,li2019qffl
3196371845,survey,Federated learning on non-IID data: survey (no abstract in the record),metadata,zhu2021noniid
3123459983,survey,A survey on federated learning (KBS 2021; no abstract in the record),metadata,zhang2021flsurvey
3133814152,survey,Towards personalized federated learning: survey of PFL under heterogeneity (IEEE TNNLS),abstract,tan2023personalizedfl
4382463479,method,FedALA: adaptive local aggregation for personalised FL (AAAI 2023),abstract,zhang2023fedala
4387105517,survey,"Heterogeneous federated learning: data, model, network and hardware heterogeneity (ACM CSUR)",abstract,ye2024heterogeneousfl
4393156671,method,FedTGP: trainable global prototypes for model-heterogeneous FL (AAAI 2024),abstract,zhang2024fedtgp
4402716118,method,FedAS: addressing intra- and inter-client inconsistency in personalised FL (CVPR 2024),abstract,yang2024fedas
4415878254,method,DFCA: decentralised federated clustering without a central server (IEEE IoTJ 2026),abstract,
4408476406,method,CBRFL: committee-based Byzantine-resilient federated learning (no abstract in the record),metadata,xu2025cbrfl
4412162472,survey,Scoping review of the governance of federated learning in healthcare (npj Digital Medicine 2025),abstract,eden2025flgovernance
7133255133,survey,Survey of six core challenges of federated learning (2026),abstract,