Check computer science papers: citations, claims and retractions

An Improved Identity-Based Generalized Signcryption Scheme for Secure Multi-Access Edge Computing Empowered Flying Ad Hoc Networks

Din, N., Waheed, A., Zareei, M., & Alanazi, F. (2021) · IEEE Access

Cryptography and Data SecurityAdvanced Authentication Protocols Security

Cited by 28

Facial emotion recognition in modern distant education system using SVM

Sun, J.-M., Pei, X.-S., & Zhou, S.-S. (2008) · 2008 International Conference on Machine Learning and Cybernetics

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 28

Preventing generation of verbatim memorization in language models gives a false sense of privacy

Ippolito, D., Tramer, F., Nasr, M., Zhang, C., Jagielski, M., Lee, K., Choquette Choo, C., & Carlini, N. (2023) · Proceedings of the 16th International Natural Language Generation Conference

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 28

Simple synthetic data reduces sycophancy in large language models

Wei, J., Huang, D., Lu, Y., Zhou, D., & Le, Q. V. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 28

Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis

Sun, Y., Ochiai, H., & Sakuma, J. (2022) · 2022 International Joint Conference on Neural Networks (IJCNN)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 28

Testing Stylistic Interventions to Reduce Emotional Impact of Content Moderation Workers

Karunakaran, S., & Ramakrishan, R. (2019) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Hate Speech and Cyberbullying DetectionEmotional Labor in Professions

Cited by 28

Six Million (Suspected) Fake Stars on GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware

He, H., Yang, H., Burckhardt, P., Kapravelos, A., Vasilescu, B., & Kästner, C. (2026) · Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering

Spam and Phishing DetectionSoftware Engineering Research

Cited by 28

A Blockchain-Reinforced Federated Intrusion Detection Architecture for IIoT

Jiang, D., Wang, Z., Wang, Y., Tan, L., Wang, J., & Zhang, P. (2024) · IEEE Internet of Things Journal

Network Security and Intrusion DetectionPrivacy-Preserving Technologies in Data

Cited by 28

Accuracy Comparison of CNN, LSTM, and Transformer for Activity Recognition Using IMU and Visual Markers

Trujillo-Guerrero, M. F., Román-Niemes, S., Jaén-Vargas, M., Cadiz, A., Fonseca, R., & Serrano-Olmedo, J. J. (2023) · IEEE Access

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 28

CopyCat: Using Sign Language Recognition to Help Deaf Children Acquire Language Skills

Bansal, D., Ravi, P., So, M., Agrawal, P., Chadha, I., Murugappan, G., & Duke, C. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Hand Gesture Recognition SystemsHearing Impairment and Communication

Cited by 28

Secure Federated Submodel Learning

Niu, C., Wu, F., Tang, S., Hua, L., Jia, R., Lv, C., Wu, Z., & Chen, G. (2019) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 28

Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks

Zhou, R., Chen, L., & Yu, K. (2024) · Proceedings of the Language Resources and Evaluation Conference

Topic ModelingAcademic Writing and Publishing

Cited by 28

Occluded algorithms

Burke, A. (2019) · Big Data & Society

Ethics and Social Impacts of AIInformation Systems Theories and Implementation

Cited by 28

Benchmarking the quantum cryptanalysis of symmetric, public-key and hash-based cryptographic schemes

Gheorghiu, V., & Mosca, M. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 28

SpecRover: Code Intent Extraction via LLMs

Ruan, H., Zhang, Y., & Roychoudhury, A. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 28

BLiMP: the benchmark of linguistic minimal pairs for English

Warstadt, A., Parrish, A., Liu, H., Mohananey, A., Peng, W., Wang, S.-F., & Bowman, S. R. (2020) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 28

Intelligent and Efficient IoT Through the Cooperation of TinyML and Edge Computing

Sanchez-Iborra, R., Zoubir, A., Hamdouchi, A., Idri, A., & Skarmeta, A. (2023) · Informatica

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 28

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

Kang, W.-C., Ni, J., Mehta, N., Sathiamoorthy, M., Hong, L., Chi, E., & Cheng, D. Z. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 28

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Godard, C., Mac Aodha, O., & Brostow, G. J. (2016) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 28

Combining Gameplay Data with Monte Carlo Tree Search to Emulate Human Play

Devlin, S., Anspoka, A., Sephton, N., Cowling, P., & Rollason, J. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 28

Persuasive and Pervasive Sensing: A New Frontier to Monitor, Track and Assist Older Adults Suffering from Type-2 Diabetes

Chatterjee, S., Dutta, K., Xie, H. (., Byun, J., Pottathil, A., & Moore, M. (2013) · 2013 46th Hawaii International Conference on System Sciences

Context-Aware Activity Recognition SystemsWireless Sensor Networks for Data Analysis

Cited by 28

CRP-RAG: A Retrieval-Augmented Generation Framework for Supporting Complex Logical Reasoning and Knowledge Planning

Xu, K., Zhang, K., Li, J., Huang, W., & Wang, Y. (2024) · Electronics

Topic ModelingInformation Retrieval and Search Behavior

Cited by 28

Using experience sampling to link software repositories with emotions and work well-being

Kuutila, M., Mäntylä, M. V., Claes, M., Elovainio, M., & Adams, B. (2018) · Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 28

AirGapAgent: Protecting Privacy-Conscious Conversational Agents

Bagdasarian, E., Yi, R., Ghalebikesabi, S., Kairouz, P., Gruteser, M., Oh, S., Balle, B., & Ramage, D. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 28