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International AI Safety Report
The first International AI Safety Report comprehensively synthesizes the current evidence on the capabilities, risks, and safety of advanced AI systems.
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
Although backdoor attacks have been extensively studied in the image domain, there are very few works that explore such attacks in the video domain, and they tend to conclude that image backdoor attacks are less effective in the video domain.
On Robust Learning from Noisy Labels: A Permutation Layer Approach
We provide two variants of PermLL in this paper: one applies the permutation layer to the model's prediction, while the other applies it directly to the given noisy label.
On Linear Time-Invariant Systems Analysis via A Single Trajectory: A Linear Programming Approach
At first, we characterize the stability region of LTI systems given only a single trajectory dataset by constructing the associated Lyapunov function of the system.
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors
Economic model predictive control (EMPC) is a promising methodology for optimal operation of dynamical processes that has been shown to improve process economics considerably.
QuPWM: Feature Extraction Method for MEG Epileptic Spike Detection
Second, the extracted features are classified using a Support Vector Machine (SVM) for the purpose of epileptic spikes detection.
