Check computer science papers: citations, claims and retractions

Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations

Nichols, R., Rathgeb, C., Drozdowski, P., & Busch, C. (2022) · IEEE Access

Digital Media Forensic DetectionFace recognition and analysis

Cited by 16

LongCoder: A Long-Range Pre-trained Language Model for Code Completion

Guo, D., Xu, C., Duan, N., Yin, J., & McAuley, J. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 16

Task Allocation for Mobile Federated and Offloaded Learning with Energy and Delay Constraints

Mohammad, U., Sorour, S., & Hefeida, M. (2020) · 2020 IEEE International Conference on Communications Workshops (ICC Workshops)

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 16

Spurious Correlations in Reference-Free Evaluation of Text Generation

Durmus, E., Ladhak, F., & Hashimoto, T. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 16

Slot : Provenance-Driven APT Detection through Graph Reinforcement Learning

Qiao, W., Feng, Y., Li, T., Ma, Z., Shen, Y., Ma, J., & Liu, Y. (2025) · Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 16

Towards a Lightweight Continuous Authentication Protocol for Device-to-Device Communication

Shah, S. W. A., Syed, N. F., Shaghaghi, A., Anwar, A., Baig, Z., & Doss, R. (2020) · 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 16

Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools

Hajjej, F., Javeed, M., Ksibi, A., Alarfaj, M., Alnowaiser, K., Jalal, A., Alsufyani, N., Shorfuzzaman, M., & Park, J. (2022) · IEEE Access

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 16

On Cooperative Federated Defense to Secure Multiaccess Edge Computing

Sedjelmaci, H., & Ansari, N. (2024) · IEEE Consumer Electronics Magazine

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 16

Human inference in changing environments with temporal structure.

Prat-Carrabin, A., Wilson, R. C., Cohen, J. D., & Azeredo da Silveira, R. (2021) · Psychological Review

Bayesian Modeling and Causal InferenceDecision-Making and Behavioral Economics

Cited by 16

Mapping Interfacial Regimes of Control: A Qualitative Analysis of America’s Post-9/11 Security Technology Infrastructure

Knight, E., & Gekker, A. (2020) · Surveillance & Society

Ethics and Social Impacts of AICultural Studies and Postmodernism

Cited by 16

Modular divide-and-conquer parallelization of nested loops

Farzan, A., & Nicolet, V. (2019) · Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation

Parallel Computing and Optimization TechniquesLogic, programming, and type systems

Cited by 16

Spectral Analysis of Signals [Book Review]

Li, H. (2007) · IEEE Signal Processing Magazine

Direction-of-Arrival Estimation TechniquesStatistical and numerical algorithms

Cited by 16

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models

Jocher, G., Qiu, J., Liu, M., Lyu, S., Akyon, F. C., & Kalfaoglu, M. E. (2026) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 16

Enabling privacy-aware interoperable and quality IoT data sharing with context

Chhetri, T. R., Dehury, C. K., Varghese, B., Fensel, A., Srirama, S. N., & DeLong, R. J. (2024) · Future Generation Computer Systems

IoT and Edge/Fog ComputingSemantic Web and Ontologies

Cited by 16

Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?

Singh, A. K., Kocyigit, M. Y., Poulton, A., Esiobu, D., Lomeli, M., Szilvasy, G., & Hupkes, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

Research data management and the Canadian academic library: An organizational consideration of data management and data stewardship

Steeleworthy, M. (2014) · Partnership: The Canadian Journal of Library and Information Practice and Research

Research Data Management PracticesLibrary Science and Information

Cited by 16

LLM Agents can Autonomously Hack Websites

Fang, R., Bindu, R., Gupta, A., Zhan, Q., & Kang, D. (2024) · arXiv

Web Application Security VulnerabilitiesAdversarial Robustness in Machine Learning

Cited by 16

APOLLO: A GPT-based tool to detect phishing emails and generate explanations that warn users

Desolda, G., Greco, F., & Vigano, L. (2025) · Proceedings of the ACM on Human-Computer Interaction

Spam and Phishing DetectionUser Authentication and Security Systems

Cited by 16

Automatic Mixed-Precision Quantization Search of BERT

Zhao, C., Hua, T., Shen, Y., Lou, Q., & Jin, H. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Advanced Neural Network ApplicationsTopic Modeling

Cited by 16

Pop Quiz! Can a Large Language Model Help With Reverse Engineering?

Pearce, H., Tan, B., Krishnamurthy, P., Khorrami, F., Karri, R., & Dolan-Gavitt, B. (2022) · arXiv

Software Engineering ResearchSecurity and Verification in Computing

Cited by 16

Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice

Ren, R., Wang, Y., Liu, F., Li, Z., & Xie, G. (2023) · 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 16

Ethical considerations in the early detection of Alzheimer's disease using speech and AI

Petti, U., Nyrup, R., Skopek, J. M., & Korhonen, A. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIDementia and Cognitive Impairment Research

Cited by 16

Child Welfare System: Interaction of Policy, Practice and Algorithms

Saxena, D., Badillo-Urquiola, K., Wisniewski, P., & Guha, S. (2020) · Companion of the 2020 ACM International Conference on Supporting Group Work

Ethics and Social Impacts of AIChild Welfare and Adoption

Cited by 16

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

Cao, M., Dong, Y., & Cheung, J. C. K. (2021) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 16