209 citations · 409 across the 19 of their papers we have counts for
22 papers
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
Xing Ai, Jialong Zhou, Yulin Zhu +4
Graph anomaly detection (GAD) has achieved success and has been widely applied in various domains, such as fraud detection, cybersecurity, finance security, and biochemistry. Howev…
Coupled-Space Attacks against Random-Walk-based Anomaly Detection
Yuni Lai, Marcin Waniek, Liying Li +5
Random Walks-based Anomaly Detection (RWAD) is commonly used to identify anomalous patterns in various applications. An intriguing characteristic of RWAD is that the input graph ca…
Lightning Creation Games
Zeta Avarikioti, Tomasz Lizurej, Tomasz Michalak +1
Payment channel networks (PCNs) are a promising solution to the scalability problem of cryptocurrencies. Any two users connected by a payment channel in the network can theoretical…
On Manipulating Weight Predictions in Signed Weighted Networks
Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski
Adversarial social network analysis studies how graphs can be rewired or otherwise manipulated to evade social network analysis tools. While there is ample literature on manipulati…
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks
Yulin Zhu, Tomasz Michalak, Xiapu Luo +2
Signed social networks are widely used to model the trust relationships among online users in security-sensitive systems such as cryptocurrency trading platforms, where trust predi…
Multiagent Model-based Credit Assignment for Continuous Control
Dongge Han, Chris Xiaoxuan Lu, Tomasz Michalak +1
Deep reinforcement learning (RL) has recently shown great promise in robotic continuous control tasks. Nevertheless, prior research in this vein center around the centralized learn…