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Found 6 papers, 2 papers with code
How ChatGPT is Solving Vulnerability Management Problem
Prior works show that ChatGPT has the capabilities of processing foundational code analysis tasks, such as abstract syntax tree generation, which indicates the potential of using ChatGPT to comprehend code syntax and static behaviors.
LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
Instead of directly inverting the triggers, LMSanitator aims to invert the predefined attack vectors (pretrained models' output when the input is embedded with triggers) of the task-agnostic backdoors, which achieves much better convergence performance and backdoor detection accuracy.
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
We also explore some improvements that can maintain model utility and defend against MIAs more effectively.
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection
We then visualize the identity loss between the test and the reference image from the image differences of the aligned pairs, and design a custom metric to quantify the identity loss.
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models
We reflect this nature with the confusion of a face identification model and measure the confusion with the maximum value of the output probability distribution.
A Robust Scheme for 3D Point Cloud Copy Detection
In this paper, we focus on a fundamental and practical research problem: judging whether a point cloud is plagiarized or copied to another point cloud in the presence of several manipulations (e. g., similarity transformation, smoothing).
