Search

Your search keyword '"Sadiq, A."' showing total 48,154 results
Start Over Author "Sadiq, A."

Refine your results

more »

more »

more »

more »

more »

more »

more »
48,154 results on '"Sadiq, A."'

51. Poisoning Attacks against Recommender Systems: A Survey

Author

Wang, Zongwei, Gao, Min, Yu, Junliang, Ma, Hao, Yin, Hongzhi, and Sadiq, Shazia

Subjects
Computer Science - Information Retrieval
Abstract

Modern recommender systems (RS) have seen substantial success, yet they remain vulnerable to malicious activities, notably poisoning attacks. These attacks involve injecting malicious data into the training datasets of RS, thereby compromising their integrity and manipulating recommendation outcomes for gaining illicit profits. This survey paper provides a systematic and up-to-date review of the research landscape on Poisoning Attacks against Recommendation (PAR). A novel and comprehensive taxonomy is proposed, categorizing existing PAR methodologies into three distinct categories: Component-Specific, Goal-Driven, and Capability Probing. For each category, we discuss its mechanism in detail, along with associated methods. Furthermore, this paper highlights potential future research avenues in this domain. Additionally, to facilitate and benchmark the empirical comparison of PAR, we introduce an open-source library, ARLib, which encompasses a comprehensive collection of PAR models and common datasets. The library is released at https://github.com/CoderWZW/ARLib., Comment: 9 pages,3 figures

Published
2024

52. Privacy-Preserving Photo Sharing: An SSI Use Case

Author

Fraser, Ashley, Shehu, Abubakar-Sadiq, Frymann, Nick, Haynes, Paul, Schneider, Steve, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Patil, Vishwas T., editor, Krishnan, Ram, editor, and Shyamasundar, Rudrapatna K., editor

Published
2025
Full Text
View/download PDF

53. Stability-Driven CNN Training with Lyapunov-Based Dynamic Learning Rate

Author

Tang, Dahao, Yang, Nan, Deng, Yongkun, Zhang, Yuning, Sani, Abubakar Sadiq, Yuan, Dong, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chen, Tong, editor, Cao, Yang, editor, Nguyen, Quoc Viet Hung, editor, and Nguyen, Thanh Tam, editor

Published
2025
Full Text
View/download PDF

56. Customer-Based Opinion Analysis Using Clustering and Classification Techniques

Author

Ahad, Abdul, Riyazuddin, Sadiq, Jaffar, Raju, Basava, Lakshmi, Rama, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Amit, editor, Gunjan, Vinit Kumar, editor, Senatore, Sabrina, editor, and Hu, Yu-Chen, editor

Published
2025
Full Text
View/download PDF

57. Designing of Questionnaire for Factors That Impact Student Learning Outcomes in Tertiary Education System: An Analysis from Pakistan

Author

Asim, Hafiz Muhmmad, Vaz, Anthony, Mansoori, Shaheen, Ahmed, Ashfaq, Akram, Rizwan, Sadiq, Samreen, Hussain, Haseeb, and Aziz, Amer

Abstract

The current research focused on the designing of questionnaire for factors that impact student learning outcomes in tertiary educational system in underdeveloped nation Pakistan. A pilot study was conducted for the designing of questionnaire to collect data on perceived factors that impact student learning outcomes. The selected Higher Education Commission (HEC) recognized private educational institutions were contacted and permission of data collection was obtained from the authorities. Ninety eight students of final semester from HEC recognized tertiary universities at Bachelors level from the department of Science were approached for this study. Participants were informed that the data will be kept in a laptop under password protection. There were 41 total items in the questionnaire. It has been divided into 2 sections. Section A includes the demographic characteristics of participants and includes 7 questions. Section B is divided into 6 subsections, each section capturing the true essence of independent and dependent variables. The results of the study concluded that student perception questionnaire has good to excellent intra rater reliability and indicates that all components have factor loading exceeding 0.50 that also shows the importance of all components. Thus, the questionnaire can be used for the assessment of factors that impact student learning outcomes from educational institutes.

Published
2023

84. Reimagining the language of engagement in a post-stakeholder world

Author

Reed, Mark S., Merkle, Bethann Garramon, Cook, Elizabeth J., Hafferty, Caitlin, Hejnowicz, Adam P., Holliman, Richard, Marder, Ian D., Pool, Ursula, Raymond, Christopher M., Wallen, Kenneth E., Whyte, David, Ballesteros, Marta, Bhanbhro, Sadiq, Borota, Siniša, Brennan, Marnie L., Carmen, Esther, Conway, Elaine A., Everett, Rosie, Armstrong-Gibbs, Fiona, Jensen, Eric, Koren, Gerbrand, Lockett, Jenny, Obani, Pedi, O’Connor, Seb, Prange, Laurie, Mason, Jon, Robinson, Simon, Shukla, Priya, Tarrant, Anna, Marchetti, Alessandro, and Stroobant, Mascha

Published
2024
Full Text
View/download PDF

90. Integrated Path Tracking with DYC and MPC using LSTM Based Tire Force Estimator for Four-wheel Independent Steering and Driving Vehicle

Author

Lim, Sungjin, Sadiq, Bilal, Jin, Yongsik, Lee, Sangho, Choi, Gyeungho, Nam, Kanghyun, and Lim, Yongseob

Subjects
Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control
Abstract

Active collision avoidance system plays a crucial role in ensuring the lateral safety of autonomous vehicles, and it is primarily related to path planning and tracking control algorithms. In particular, the direct yaw-moment control (DYC) system can significantly improve the lateral stability of a vehicle in environments with sudden changes in road conditions. In order to apply the DYC algorithm, it is very important to accurately consider the properties of tire forces with complex nonlinearity for control to ensure the lateral stability of the vehicle. In this study, longitudinal and lateral tire forces for safety path tracking were simultaneously estimated using a long short-term memory (LSTM) neural network based estimator. Furthermore, to improve path tracking performance in case of sudden changes in road conditions, a system has been developed by combining 4-wheel independent steering (4WIS) model predictive control (MPC) and 4-wheel independent drive (4WID) direct yaw-moment control (DYC). The estimation performance of the extended Kalman filter (EKF), which are commonly used for tire force estimation, was compared. In addition, the estimated longitudinal and lateral tire forces of each wheel were applied to the proposed system, and system verification was performed through simulation using a vehicle dynamics simulator. Consequently, the proposed method, the integrated path tracking algorithm with DYC and MPC using the LSTM based estimator, was validated to significantly improve the vehicle stability in suddenly changing road conditions.

Published
2023

91. Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks

Author

Wang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin, and Sadiq, Shazia

Subjects
Computer Science - Information Retrieval, Computer Science - Cryptography and Security, Computer Science - Machine Learning
Abstract

Contrastive learning (CL) has recently gained prominence in the domain of recommender systems due to its great ability to enhance recommendation accuracy and improve model robustness. Despite its advantages, this paper identifies a vulnerability of CL-based recommender systems that they are more susceptible to poisoning attacks aiming to promote individual items. Our analysis indicates that this vulnerability is attributed to the uniform spread of representations caused by the InfoNCE loss. Furthermore, theoretical and empirical evidence shows that optimizing this loss favors smooth spectral values of representations. This finding suggests that attackers could facilitate this optimization process of CL by encouraging a more uniform distribution of spectral values, thereby enhancing the degree of representation dispersion. With these insights, we attempt to reveal a potential poisoning attack against CL-based recommender systems, which encompasses a dual-objective framework: one that induces a smoother spectral value distribution to amplify the InfoNCE loss's inherent dispersion effect, named dispersion promotion; and the other that directly elevates the visibility of target items, named rank promotion. We validate the threats of our attack model through extensive experimentation on four datasets. By shedding light on these vulnerabilities, our goal is to advance the development of more robust CL-based recommender systems. The code is available at \url{https://github.com/CoderWZW/ARLib}., Comment: 12 pages, 7 figures

Published
2023

92. Consensus statement from the first RdRp Summit: advancing RNA virus discovery at scale across communities

Author

Charon, Justine, Olendraite, Ingrida, Forgia, Marco, Chong, Li Chuin, Hillary, Luke S, Roux, Simon, Kupczok, Anne, Debat, Humberto, Sakaguchi, Shoichi, Tahzima, Rachid, Nakagawa, So, Babaian, Artem, Abroi, Aare, Bejerman, Nicolas, Mansour, Karima Ben, Brown, Katherine, Butkovic, Anamarija, Cervera, Amelia, Charriat, Florian, Chen, Guowei, Chiba, Yuto, De Coninck, Lander, Demina, Tatiana, Dominguez-Huerta, Guillermo, Dubrulle, Jeremy, Gutierrez, Serafin, Harvey, Erin, Mallika, Fhilmar Raj Jayaraj, Karapliafis, Dimitris, Lim, Shen Jean, Kasibhatla, Sunitha Manjari, Mifsud, Jonathon CO, Nishimura, Yosuke, Ortiz-Baez, Ayda Susana, Raco, Milica, Rivero, Ricardo, Sadiq, Sabrina, Saghaei, Shahram, San, James Emmanuel, Shaikh, Hisham Mohammed, Sieradzki, Ella Tali, Sullivan, Matthew B, Sun, Yanni, Wille, Michelle, Wolf, Yuri I, Zrelovs, Nikita, and Neri, Uri

Subjects
Agricultural, Veterinary and Food Sciences, Biological Sciences, Horticultural Production, RNA virus discovery, viral metagenomics, RNA-dependent RNA polymerase, viral genome annotation, metagenomic metadata standards, virus evolution and diversity
Abstract

Improved RNA virus understanding is critical to studying animal and plant health, and environmental processes. However, the continuous and rapid RNA virus evolution makes their identification and characterization challenging. While recent sequence-based advances have led to extensive RNA virus discovery, there is growing variation in how RNA viruses are identified, analyzed, characterized, and reported. To this end, an RdRp Summit was organized and a hybrid meeting took place in Valencia, Spain in May 2023 to convene leading experts with emphasis on early career researchers (ECRs) across diverse scientific communities. Here we synthesize key insights and recommendations and offer these as a first effort to establish a consensus framework for advancing RNA virus discovery. First, we need interoperability through standardized methodologies, data-sharing protocols, metadata provision and interdisciplinary collaborations and offer specific examples as starting points. Second, as an emergent field, we recognize the need to incorporate cutting-edge technologies and knowledge early and often to improve omic-based viral detection and annotation as novel capabilities reveal new biology. Third, we underscore the significance of ECRs in fostering international partnerships to promote inclusivity and equity in virus discovery efforts. The proposed consensus framework serves as a roadmap for the scientific community to collectively contribute to the tremendous challenge of unveiling the RNA virosphere.

Published
2024

96. Evaluating the implementation of the National Primary Health Care Development Agency (NPHCDA) gateway for the Basic Healthcare Provision Fund (BHCPF) across six Northern states in Nigeria

Author

Igbokwe, Uchenna, Ibrahim, Raihanah, Aina, Muyi, Umar, Musa, Salihu, Muhammed, Omoregie, Efosa, Sadiq, Firdausi Umar, Obonyo, Benson, Muhammad, Rilwanu, Isah, Salisu Idris, Joseph, Natsah, Wakil, Babagana, Tijjani, Faruk, Ibrahim, Abubakar, Yahaya, Mohammed Nura, and Aigbogun, Jr, Eric

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results