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Found 7 papers, 2 papers with code
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion
With the rise of Machine Learning as a Service (MLaaS) platforms, safeguarding the intellectual property of deep learning models is becoming paramount.
Mixture of Low-rank Experts for Transferable AI-Generated Image Detection
Remarkably, our best-performing ViT-L/14 variant requires training only 0. 08% of its parameters to surpass the leading baseline by +3. 64% mAP and +12. 72% avg. Acc across unseen diffusion and autoregressive models.
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
To trace the copyright of deep neural networks, an owner can embed its identity information into its model as a watermark.
Cross-Domain Local Characteristic Enhanced Deepfake Video Detection
As ultra-realistic face forgery techniques emerge, deepfake detection has attracted increasing attention due to security concerns.
Few-Shot Table-to-Text Generation with Prefix-Controlled Generator
To alleviate these problems, we propose a prompt-based approach, Prefix-Controlled Generator (i. e., PCG), for few-shot table-to-text generation.
Multi-task learning improves synthetic speech detection
In this paper, by observing that deepening the network impairs the performance of the network in detecting unknown attacks, we propose that the synthetic speech detection problem is an out-of-distribution (OOD) generalization problem and we enhance the robustness of networks by using multi-task learning.
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks
To confront these challenges, we propose a knowledge-free black-box watermarking scheme for image classification neural networks.
