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Found 11 papers, 2 papers with code
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent
Large Language Models (LLMs) have revolutionized open-domain dialogue agents but encounter challenges in multi-character role-playing (MCRP) scenarios.
CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification
Additionally, acknowledging the complementary nature of semantic details across different modalities, we integrate text features from the bimodal language descriptions to achieve comprehensive semantics.
Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
Distributed machine learning enables parallel training of extensive datasets by delegating computing tasks across multiple workers.
Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey
However, in practice, due to various challenges such as limited computational resources and data privacy concerns, users in need of models often cannot train machine learning models locally.
VFedMH: Vertical Federated Learning for Training Multiple Heterogeneous Models
Then the passive party, who owns only features of the sample, injects the blinding factor into the local embedding and sends it to the active party.
Artificial Intelligence for Web 3.0: A Comprehensive Survey
Then, we thoroughly analyze the current state of AI technology applications in the four layers of Web 3. 0 and offer some insights into its potential future development direction.
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model
Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind source separation tasks.
Robust Attacks on Deep Learning Face Recognition in the Physical World
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems.
A new hashing based nearest neighbors selection technique for big datasets
When it comes to select the nearest neighbors of a given observation, we firstly identify the cell the observation belongs by using hashing, and then we look for nearest neighbors from that central cell and cells around it layer by layer.
REM: From Structural Entropy to Community Structure Deception
This paper focuses on the privacy risks of disclosing the community structure in an online social network.
IriTrack: Liveness Detection Using Irises Tracking for Preventing Face Spoofing Attacks
Face liveness detection has become a widely used technique with a growing importance in various authentication scenarios to withstand spoofing attacks.
Cryptography and Security
