Check computer science papers: citations, claims and retractions

Robust distortion-free watermarks for language models

Kuditipudi, R., Thickstun, J., Hashimoto, T., & Liang, P. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 23

Ring Attention with Blockwise Transformers for Near-Infinite Context

Liu, H., Zaharia, M., & Abbeel, P. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 23

The duality of health technology in chronic illness: how designers envision our future

Lehoux, P. (2008) · Chronic Illness

Innovative Human-Technology InteractionTechnology Use by Older Adults

Cited by 23

Privacy Amplification by Decentralization

Cyffers, E., & Bellet, A. (2020) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 23

Borrowing from the Crowd: A Study of Recombination in Software Design Competitions

LaToza, T. D., Chen, M., Jiang, L., Zhao, M., & Hoek, A. V. D. (2015) · 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 23

A Route to Commons-Based Democratic Monies? Embedding the Governance of Money in Traditional Communal Institutions

Barinaga, E. (2020) · Frontiers in Blockchain

Blockchain Technology Applications and SecuritySocial and Economic Solidarity

Cited by 23

Codar: A Contextual Duration-Aware Qubit Mapping for Various NISQ Devices

Deng, H., Zhang, Y., & Li, Q. (2020) · 2020 57th ACM/IEEE Design Automation Conference (DAC)

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 23

Lessons for Editors of AI Incidents from the AI Incident Database

Paeth, K., Atherton, D., Pittaras, N., Frase, H., & McGregor, S. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 23

Quality assessment in the era of large models: A survey

Zhang, Z., Zhou, Y., Li, C., Zhao, B., Liu, X., & Zhai, G. (2025) · ACM Transactions on Multimedia Computing, Communications, and Applications

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 23

A Survey on Secure Computation Based on Homomorphic Encryption in Vehicular Ad Hoc Networks

Sun, X., Yu, F. R., Zhang, P., Xie, W., & Peng, X. (2020) · Sensors

Cryptography and Data SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 23

The Wearables Revolution: Is Standardization a Help or a Hindrance?: Mainstream technology or just a passing phase?

Kirk, S. (2014) · IEEE Consumer Electronics Magazine

Innovative Human-Technology InteractionContext-Aware Activity Recognition Systems

Cited by 23

Quality indices for topic model selection and evaluation: a literature review and case study

Meaney, C., Stukel, T. A., Austin, P. C., Moineddin, R., Greiver, M., & Escobar, M. (2023) · BMC Medical Informatics and Decision Making

Topic ModelingComputational and Text Analysis Methods

Cited by 23

Annotating social media data from vulnerable populations: evaluating disagreement between domain experts and graduate student annotators

Patton, D., Blandfort, P., Frey, W., Gaskell, M., & Karaman, S. (2019) · Proceedings of the Annual Hawaii International Conference on System Sciences

Hate Speech and Cyberbullying DetectionComputational and Text Analysis Methods

Cited by 23

Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition

Miao, S., Chen, L., & Hu, R. (2023) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 23

Learn electronic health records by fully decentralized federated learning

Lu, S., Zhang, Y., Wang, Y., & Mack, C. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 23

Tempered Sigmoid Activations for Deep Learning with Differential Privacy

Papernot, N., Thakurta, A., Song, S., Chien, S., & Erlingsson, Ú. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 23

Visual Detection of Traffic Incident through Automatic Monitoring of Vehicle Activities

Karim, A., Raza, M. A., Alharthi, Y. Z., Abbas, G., Othmen, S., Hossain, M. S., Nahar, A., & Mercorelli, P. (2024) · World Electric Vehicle Journal

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 23

The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions

Pinto, M. F., Batista, J., Leal, A., Lopes, F., Oliveira, A., Dourado, A., Abuhaiba, S. I., Sales, F., Martins, P., & Teixeira, C. A. (2023) · Epilepsia Open

Explainable Artificial Intelligence (XAI)EEG and Brain-Computer Interfaces

Cited by 23

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization

Gidaris, S., & Komodakis, N. (2016) · Procedings of the British Machine Vision Conference 2016

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 23

A Multi-Agent Architecture for Data Analysis

Lombardo, G., Fornacciari, P., Mordonini, M., Tomaiuolo, M., & Poggi, A. (2019) · Future Internet

Distributed and Parallel Computing SystemsScientific Computing and Data Management

Cited by 23

Killing the Password and Preserving Privacy With Device-Centric and Attribute-Based Authentication

Papadamou, K., Gevers, S., Xenakis, C., Sirivianos, M., Zannettou, S., Chifor, B., Teican, S., Gugulea, G., Caponi, A., Recupero, A., et al. (2020) · IEEE Transactions on Information Forensics and Security

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 23

Exploring the relationship between rarity and price of profile picture NFT: A formal concept analysis on the BAYC NFT collection

Lee, H., Lee, G.-C., & Koo, H.-Y. (2024) · Blockchain: Research and Applications

Blockchain Technology Applications and SecurityArt History and Market Analysis

Cited by 23

Cryptanalysis of a chaotic stream cipher and its improved scheme

Lin, Z., Yu, S., Feng, X., & Lü, J. (2018) · International Journal of Bifurcation and Chaos

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 23

Split and merge em algorithm for improving gaussian mixture density estimates

Ueda, N., Nakano, R., Ghahramani, Z., & Hinton, G. E. (2002) · Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378)

Bayesian Methods and Mixture ModelsAdvanced Clustering Algorithms Research

Cited by 23