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Zhuo Ma

4 accepted papers

2026

Improving Sustainability of Adversarial Examples in Class-Incremental Learning

AAAI 2026technical

Current adversarial examples (AEs) are typically designed for static models. However, with the wide application of Class-Incremental Learning (CIL), models are no longer static and need to be updated with new data distributed and labeled differently from the old ones. As a result, existing AEs often

Cited by 0SourcePDFScholar
2025

Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning

AAAI 2025technical

Substitute training-based data-free black-box attacks pose a significant threat to enterprise-deployed models. These attacks use a generator to synthesize data and query APIs, then train a substitute model to approximate the target model's decision boundary based on the returned results. However, ex…

Cited by 0SourcePDFScholar
2023

Design and Verification of Lockable Upper-Limb Exoskeleton Based on Jamming and Engagement Mechanisms

RA-L 2023

This letter presents a lockable upper-limb exoskeleton to reduce the physical fatigue of laborers/surgeons operating with upper limbs maintaining fixed posture for long time. A novel structure design integrating the jamming and engagement mechanisms that can provide locking of flexion and adduction

Cited by 4SourceScholar
2022

Reconfigurable Self-Sensing Pneumatic Artificial Muscle With Locking Ability Based on Modular Multi-Chamber Soft Actuator

RA-L 2022

In wearable applications, traditional pneumatic artificial muscles (PAMs) cannot fully satisfy the requirements of safe and sufficient interaction with the human body. The requirements include high contraction ratio, self-contained sensing, reconfiguration, locking abilities, and avoidance of the sq

Cited by 13SourceScholar