31 citations · 71 across the 26 of their papers we have counts for
3 papers · 1 filter
The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents
Antony Bartlett, Cynthia Liem, Annibale Panichella
Testing deep reinforcement learning (DRL) agents in safety-critical domains requires discovering diverse failure scenarios. Existing tools such as INDAGO rely on single-objective o…
State Frequency Estimation for Anomaly Detection
Clinton Cao, Agathe Blaise, Annibale Panichella +1
Many works have studied the efficacy of state machines for detecting anomalies within NetFlows. These works typically learn a model from unlabeled data and compute anomaly scores f…
ENCODE: Encoding NetFlows for Network Anomaly Detection
Clinton Cao, Annibale Panichella, Sicco Verwer +2
NetFlow data is a popular network log format used by many network analysts and researchers. The advantages of using NetFlow over deep packet inspection are that it is easier to col…