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Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems
Recent studies have shown that recommender systems (RSs) are highly vulnerable to data poisoning attacks.
DualNet: Locate Then Detect Effective Payload with Deep Attention Network
Network intrusion detection (NID) is an essential defense strategy that is used to discover the trace of suspicious user behaviour in large-scale cyberspace, and machine learning (ML), due to its capability of automation and intelligence, has been gradually adopted as a mainstream hunting method in recent years.
Densely Connected Residual Network for Attack Recognition
High false alarm rate and low detection rate are the major sticking points for unknown threat perception.
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