Check computer science papers: citations, claims and retractions

Safety-security convergence: Automation of IEC 62443-3-2

Da Silva, M., Mocanu, S., Puys, M., & Thevenon, P.-H. (2025) · Computers & Security

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 8

Private routing and ride-sharing using homomorphic encryption

Farokhi, F., Shames, I., & Johansson, K. H. (2020) · IET Cyber-Physical Systems: Theory & Applications

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 8

Helping LLMs improve code generation using feedback from testing and static analysis

Dolcetti, G., Arceri, V., Iotti, E., Maffeis, S., Cortesi, A., & Zaffanella, E. (2026) · Discover Artificial Intelligence

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 8

Instruction-following Evaluation through Verbalizer Manipulation

Li, S., Yan, J., Wang, H., Tang, Z., Ren, X., Srinivasan, V., & Jin, H. (2023) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 8

Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge

Schroeder, K., & Wood-Doughty, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

Layer-Condensed KV Cache for Efficient Inference of Large Language Models

Wu, H., & Tu, K. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 8

The Effects of Group Sanctions on Participation and Toxicity: Quasi-experimental Evidence from the Fediverse

Colglazier, C., TeBlunthuis, N., & Shaw, A. (2024) · Proceedings of the International AAAI Conference on Web and Social Media

Hate Speech and Cyberbullying DetectionSocial Media and Politics

Cited by 8

Federated detection of open charge point protocol 1.6 cyberattacks

Dalamagkas, C., Radoglou-Grammatikis, P., Bouzinis, P., Papadopoulos, I., Lagkas, T., Argyriou, V., Goudos, S., Margounakis, D., Fountoukidis, E., & Sarigiannidis, P. (2025) · Complex Engineering Systems

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 8

Prometheus: Towards Long-Horizon Codebase Navigation for Repository-Level Problem Solving

Pan, Y., Chen, Z., Lu, S., Chu, Z., Li, X., Li, H., Feng, Y., Goues, C. L., Sarro, F., Monperrus, M., et al. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 8

Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things

Li, K., Yuan, X., Zheng, J., Ni, W., & Guizani, M. (2023) · 2023 International Wireless Communications and Mobile Computing (IWCMC)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 8

Logical and Physical Optimizations for SQL Query Execution over Large Language Models

Satriani, D., Veltri, E., Santoro, D., Rosato, S., Varriale, S., & Papotti, P. (2025) · Proceedings of the ACM on Management of Data

Advanced Database Systems and QueriesTopic Modeling

Cited by 8

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation

Liu, M., Zhang, S., & Long, C. (2024) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 8

Development of an Edge-Based Algorithm for Moving-Object Detection Using Background Modeling

Shin, W.-Y., Kabir, M. H., Hoque, M. R., & Yang, S.-H. (2014) · Journal of information and communication convergence engineering

Video Surveillance and Tracking MethodsImage and Object Detection Techniques

Cited by 8

Code Roulette: How Prompt Variability Affects LLM Code Generation

Paleyes, A., Robinson, D., Sendyka, R., Cabrera, C., & Lawrence, N. D. (2026) · Proceedings of the 3rd International Workshop on Large Language Models For Code

Software Engineering ResearchTopic Modeling

Cited by 8

Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer

Simhi, A., Itzhak, I., Barez, F., Stanovsky, G., & Belinkov, Y. (2025) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 8

Models of human preference for learning reward functions

Knox, W. B., Hatgis-Kessell, S., Booth, S., Niekum, S., Stone, P., & Allievi, A. (2022) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 8

Scaling Large Language Model-based Multi-Agent Collaboration

Qian, C., Xie, Z., Wang, Y., Liu, W., Zhu, K., Xia, H., Dang, Y., Du, Z., Chen, W., Yang, C., et al. (2024) · arXiv

Multi-Agent Systems and NegotiationTopic Modeling

Cited by 8

Generative artificial intelligence and epistemic (in)justice: perspectives from higher education students in the global north and south

Olaniyan, Y. D., Martins, M. O., & Al Maqrashi, R. H. (2026) · Frontiers in Human Dynamics

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 8

Beating the random assignment on constraint satisfaction problems of bounded degree

Barak, B., Moitra, A., O'Donnell, R., Raghavendra, P., Regev, O., Steurer, D., Trevisan, L., Vijayaraghavan, A., Witmer, D., & Wright, J. (2015) · arXiv

Constraint Satisfaction and OptimizationComplexity and Algorithms in Graphs

Cited by 8

Fine-tuning BERT Models for Summarizing German Radiology Findings

Liang, S., Kades, K., Fink, M., Full, P., Weber, T., Kleesiek, J., Strube, M., & Maier-Hein, K. (2022) · Proceedings of the 4th Clinical Natural Language Processing Workshop

Topic ModelingMultimodal Machine Learning Applications

Cited by 8

Imagining the Far East: Exploring Perceived Biases in AI-Generated Images of East Asian Women

Lan, X., An, J., Guo, Y., Chiyou, T., Cai, X., & Zhang, J. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIMedia, Gender, and Advertising

Cited by 8

The Impact of Data Quality on Software Testing Effort Prediction

Radliński, Ł. (2023) · Electronics

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 8

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Gao, Y., Myers, S., Chen, S., Dligach, D., Miller, T. A., Bitterman, D., Churpek, M., & Afshar, M. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 8

Pruning from Scratch

Wang, Y., Zhang, X., Xie, L., Zhou, J., Su, H., Zhang, B., & Hu, X. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 8