Search Results for author:
Found 22 papers, 7 papers with code
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models
However, when the artwork or the model has been published online, i. e., modification to the original artwork or model retraining is not feasible, these strategies might not be viable.
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning
The first stage expands the test space with greater diversity, while the second enables a refined robustness evaluation across rare, frequent, and overall question distributions.
Audio-visual Question Answering
Audio-Visual Question Answering (AVQA)
+4
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
In wireless networks with integrated sensing and communications (ISAC), edge intelligence (EI) is expected to be developed at edge devices (ED) for sensing user activities based on channel state information (CSI).
Movable Antennas Enabled ISAC Systems: Fundamentals, Opportunities, and Future Directions
The movable antenna (MA)-enabled integrated sensing and communication (ISAC) system attracts widespread attention as an innovative framework.
Joint Discrete Antenna Positioning and Beamforming Optimization in Movable Antenna Enabled Full-Duplex ISAC Networks
We formulate a problem of minimizing the total transmit power consumption via jointly optimizing the discrete position of MA elements, beamforming vectors, sensing signal covariance matrix and user transmit power.
Model Predictive Control Enabled UAV Trajectory Optimization and Secure Resource Allocation
In this paper, we investigate a secure communication architecture based on unmanned aerial vehicle (UAV), which enhances the security performance of the communication system through UAV trajectory optimization.
SoK: Dataset Copyright Auditing in Machine Learning Systems
As the implementation of machine learning (ML) systems becomes more widespread, especially with the introduction of larger ML models, we perceive a spring demand for massive data.
Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
We review the current state of LM agents, the key technologies enabling LM agent collaboration, and the security and privacy challenges they face during cooperative operations.
Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity
For the large time scale, we propose a game-nested deep reinforcement learning algorithm to dynamically adjust service caching according to the estimated popularity information.
Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?
Given the sensing data submitted by MUs, PRBTD can eliminate the data with heavy noise and identify malicious MUs with high accuracy.
Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling
This paper focuses on semi-supervised crowd counting, where only a small portion of the training data are labeled.
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Then, we investigate the taxonomy of security and privacy threats to AIGC and highlight the ethical and societal implications of GPT and AIGC technologies.
Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning
Task allocation plays a vital role in multi-robot autonomous cleaning systems, where multiple robots work together to clean a large area.
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
In this paper, we strike the balance of data privacy and efficiency by utilizing the pervasive social connections between users.
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
To avoid obvious stage learning bottlenecks, we propose a brand-new stage-isolation based incremental learning framework, which leverages a series of stage-isolated classifiers to perform the learning task of each stage without the interference of others.
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach
The proliferation of unmanned aerial vehicles (UAVs) opens up new opportunities for on-demand service provisioning anywhere and anytime, but also exposes UAVs to a variety of cyber threats.
Semi-supervised Crowd Counting via Density Agency
In this paper, we propose a new agency-guided semi-supervised counting approach.
Continuous Temporal Graph Networks for Event-Based Graph Data
Hence, we propose Continuous Temporal Graph Networks (CTGNs) to capture the continuous dynamics of temporal graph data.
Energy-Efficient and Physical Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things
Existing blockchain-based computation offloading schemes usually focus on network performance improvements, such as energy consumption minimization or latency minimization, and neglect the Gas fee for computation offloading, resulting in the dissatisfaction of high Gas providers.
Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions
Unmanned aerial vehicles (UAVs) can help facilitate cost-effective and flexible service provisioning in future smart cities.
Learning Visual Knowledge Memory Networks for Visual Question Answering
Second is the mechanism for handling multiple knowledge facts expanding from question and answer pairs.
Weakly Supervised Dense Video Captioning
This paper focuses on a novel and challenging vision task, dense video captioning, which aims to automatically describe a video clip with multiple informative and diverse caption sentences.
