Results 211 to 220 of about 240,849 (326)

ENHANCING VERIFICATION ROBUSTNESS IN IDENTITY AUTHENTICATION SYSTEMS - SYNTHETIC IDENTITY FRAUD AND ADVERSARIAL ARTIFICIAL INTELLIGENCE

openalex   +1 more source

Privacy-Adversarial User Representations in Recommender Systems. [PDF]

, 2018
Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom   +3 more
openalex  

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness. [PDF]

Sci Rep
Samy H, Bahaa-Eldin AM, Sobh MA, Taha A.
europepmc   +1 more source

The Tester Layer: A Non-Authoritative Adversarial Verification Pattern for Coherent Systems

Koen Jaspers
openalex   +1 more source

LLM Adversarial Prompt Attack Detection and Mitigation Engine: A  Novel Framework for Securing Generative AI Systems [PDF]

Madiha Fathima
openalex   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

A multi-modal deep learning framework with GAN-based fusion for enhanced landslide detection. [PDF]

PLoS One
Srivats R, Johnson DR, Logeswari G, Saimirra R, Siddiqui M, Sharma A.   +5 more
europepmc   +1 more source

Statistical Hypothesis Testing using CNN Features for Synthesis of Adversarial Counterexamples to Human and Object Detection Vision Systems

, 2017
Sunny Raj, Sumit Kumar Jha, Laura Pullum, Arvind Ramanathan   +3 more
openalex   +2 more sources

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source