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Quadratic integrate-and-fire neurons exhibit less fragmented loss landscapes and outperform leaky integrate-and-fire neurons in spike-based gradient descent
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ProbeAct: Probe-Guided Training-Free Failure Recovery in Vision-Language-Action Models
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Rethinking IoT Intrusion Detection: Augmenting Routing Metrics with Radio Features
Announce Type: new Abstract: Machine learning-based intrusion detection systems (IDS) for RPL-based IoT networks often rely solely on routing layer features, which provide only a partial view of network behaviour. In this work, we investigate whether incorporating Transmit (TX) and Receive (RX) radio features alongside the standard RPL feature set can improve detection performance in an LSTM-based IDS. We evaluate the proposed approach across three different attack types, namely...
The Great Data Standoff: Researchers vs. Platforms Under the Digital Services Act
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A walking tour of surveillance infrastructure in Seattle
Note: this guide is a work in progress and may change at any time! We’ve done our best to cite our sources, but this page has not been professionally fact-checked. This workshop was first run as part of two pilot workshops with the Tech Equity Coalition, in partnership with the ACLU of Washington, in October 2019.