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Found 9 papers, 2 papers with code
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis
Fetal ultrasound (US) examinations require the acquisition of multiple planes, each providing unique diagnostic information to evaluate fetal development and screening for congenital anomalies.
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
Secure aggregation is motivated by federated learning (FL) where a cloud server aims to compute an averaged model (i. e., weights of deep neural networks) of the locally-trained models of numerous clients, while adhering to data security requirements.
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
Large language models (LLMs) have demonstrated impressive results on natural language tasks, and security researchers are beginning to employ them in both offensive and defensive systems.
A Comprehensive Study of Privacy Risks in Curriculum Learning
Training a machine learning model with data following a meaningful order, i. e., from easy to hard, has been proven to be effective in accelerating the training process and achieving better model performance.
Maestro: A Gamified Platform for Teaching AI Robustness
We assessed Maestro's influence on students' engagement, motivation, and learning success in robust AI.
On Adversarial Robustness of Point Cloud Semantic Segmentation
As such, we present a comparative study of PCSS robustness.
Continuous Release of Data Streams under both Centralized and Local Differential Privacy
To our knowledge, this is the first LDP algorithm for publishing streaming data.
Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks
However, in the meantime, such a fast-growing technology has also introduced new privacy issues, which need to be better understood and measured.
Cryptography and Security
Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild
In this paper, we seek to better understand Android obfuscation and depict a holistic view of the usage of obfuscation through a large-scale investigation in the wild.
Cryptography and Security
