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How well can machine-generated texts be identified and can language models be trained to avoid identification?
Shallow learning classifiers differ from human-based detection, especially when using higher temperature values during text generation, resulting in a lower detection rate.
Realizable Universal Adversarial Perturbations for Malware
Universal Adversarial Perturbations (UAPs), which identify noisy patterns that generalize across the input space, allow the attacker to greatly scale up the generation of such examples.
Tracemax: A Novel Single Packet IP Traceback Strategy for Data-Flow Analysis
In combination with a defense system it differentiates between multiple connections.
A Novel Multi-Agent System for Complex Scheduling Problems
The objective of this paper is the conception and implementation of a multi-agent system that is applicable in various problem domains.
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