GAN-based methodsImage dataTime series dataAnomaly detection (AD) is an enduring topic, and it has been used in various fields, such as fraud detection, industrial fault diagnosis, and medical image diagnosis. With the continuous development of deep learning, in recent years, an increasing ...
In this section we first clarify some general concepts and terms relevant for anomaly detection in log data based on deep learning. We then outline scientific challenges that are specific to that research field. 2.1. Preliminary definitions The study carried out in this paper hinges on an understa...
For instance, the research demonstrates how deduplicating training data before applying differentially-private training creates a side channel that compromises privacy guarantees. (A8) Supply chain vulnerabilities. Supply Chain Vulnerabilities refer to the risks in the lifecycle of LLM applications that may...
With the emergence of the Internet of Things (IoT) and the rise of shared multimedia content on social media networks, available datasets have become incre
Basic frameworks based on pixel-level similarity. (a) AE; (b) VAE; (c) GAN; (d) combination of AE and GAN. Common improvements: (e) memory mechanism; (f) applying Gaussian mixture model or autoregressive model on latent variables View Download Figure 7 Frameworks based on feature similar...
Recently, Borji [11] surveyed recent developments in GAN evaluation measures research, updating a previous paper on the topic [16]. Again, the work is not restricted to the time series domain but to one class of generation methods. Moreover, the focus is on image generation as it dominates...
2024 AAAI Learning Dense Correspondence for NeRF-Based Face Reenactment - 2024 AAAI FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions - 2024 IJCV One-shot Neural Face Reenactment via Finding Directions in GAN's Latent Space - 2024 PR MaskRenderer: 3D-Infu...
By providing an overview of network anomaly data, visualization tasks, and applications, we further elaborate on existing methods to depict various data features of network alerts, anomalous traffic, and attack patterns data. Directions for future studies are outlined at the end of this paper....
Recently, Borji [11] surveyed recent developments in GAN evaluation measures research, updating a previous paper on the topic [16]. Again, the work is not restricted to the time series domain but to one class of generation methods. Moreover, the focus is on image generation as it dominates...
Research Safety for Intelligent and Connected Vehicles—ReviewA Survey on an Emerging Safety Challenge for Autonomous Vehicles: Safety of the Intended Functionality Author links open overlay panelHong Wang a, Wenbo Shao a, Chen Sun b, Kai Yang c, Dongpu Cao b, Jun Li aShow more Add to ...