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Found 7 papers, 3 papers with code
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
Based on this, we pose the backdoor data identification problem as a hierarchical data splitting optimization problem, leveraging a novel SPC-based loss function as the primary optimization objective.
From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models
We show that this latter insight can be used to enhance the detection of backdoor-poisoned training data.
Tackling VQA with Pretrained Foundation Models without Further Training
Large language models (LLMs) have achieved state-of-the-art results in many natural language processing tasks.
Balancing Exploration and Exploitation: Disentangled $β$-CVAE in De Novo Drug Design
To address this, we proposed a molecular-graph $\beta$-CVAE model for de novo drug design.
A Novel real-time arrhythmia detection model using YOLOv8
In a landscape characterized by heightened connectivity and mobility, coupled with a surge in cardiovascular ailments, the imperative to curtail healthcare expenses through remote monitoring of cardiovascular health has become more pronounced.
Arrhythmia Detection
Explainable Artificial Intelligence (XAI)
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning
Despite this, deception detection research is hindered by the lack of high-quality deception datasets, as well as the difficulties of learning multimodal features effectively.
Flexible-modal Deception Detection with Audio-Visual Adapter
Detecting deception by human behaviors is vital in many fields such as custom security and multimedia anti-fraud.
