3 papers
quant-ph2026
Toward Interpretable Quantum Generators for Financial Returns through Problem-Informed Circuit Design
Huijie Guan, Xuanhao Wang, Shengbin Wang +7
When used as function approximators, quantum circuits often lack interpretability and face a fundamental trade-off between expressivity and trainability. We propose a problem-infor…
cs.CR2026
DSBA: Dynamic Stealthy Backdoor Attack with Collaborative Optimization in Self-Supervised Learning
Jiayao Wang, Mohammad Maruf Hasan, Yiping Zhang +5
Self-Supervised Learning (SSL) has emerged as a significant paradigm in representation learning thanks to its ability to learn without extensive labeled data, its strong generaliza…
cs.CR2026
BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models
Jiayao Wang, Yiping Zhang, Mohammad Maruf Hasan +5
Self-supervised diffusion models learn high-quality visual representations via latent space denoising. However, their representation layer poses a distinct threat: unlike tradition…