CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation

Deep Neural Networks DNNs are susceptible to backdoor attacks, where adversaries poison training data to implant backdoor into the victim model. Current backdoor defenses on poisoned data often suffer from high computational costs or low effectiveness against advanced attacks like clean-label and...

Don'T Hash Me like That: Exposing and Mitigating Hash-Induced Unfairness in Local Differential Privacy

Local differential privacy LDP has become a widely accepted framework for privacy-preserving data collection. In LDP, many protocols rely on hash functions to implement user-side encoding and perturbation. However, the security and privacy implications of hash function selection have not been...

Real-Time, Low-Latency Surveillance Using Entropy-Based Adaptive Buffering and MobileNetV2 on Edge Devices

This paper describes a high-performance, low-latency video surveillance system designed for resource-constrained environments. We have proposed a formal entropy-based adaptive frame buffering algorithm and integrated that with MobileNetV2 to achieve high throughput with low latency. The system is...

Cybersecurity through Entropy Injection: a Paradigm Shift from Reactive Defense to Proactive Uncertainty

Cybersecurity often hinges on unpredictability, with a system's defenses being strongest when sensitive values and behaviors cannot be anticipated by attackers. This paper explores the concept of entropy injection-deliberately infusing randomness into security mechanisms to increase...

Nameles - Open Source Entropy Based Invalid Traffic Detection And Pre-Bid Filtering

Nameles provides an easy to deploy, scalable IVT detection and filtering solution that is proven to detect at a high level of accuracy ad fraud and other types of invalid traffic such as web scraping. For a high level overview you might want to check out the website If you have any questions or...