3 papers
cs.CR2025
Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas
Issa Oe, Keiichiro Yamamura, Hiroki Ishikura +2
Deep learning models are used in safety-critical tasks such as automated driving and face recognition. However, small perturbations in the model input can significantly change the…
cs.CV2025
Enhancing Quantum-ready QUBO-based Suppression for Object Detection with Appearance and Confidence Features
Keiichiro Yamamura, Toru Mitsutake, Hiroki Ishikura +3
Quadratic Unconstrained Binary Optimization (QUBO)-based suppression in object detection is known to have superiority to conventional Non-Maximum Suppression (NMS), especially for…
cs.LG2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks
Keiichiro Yamamura, Issa Oe, Hiroki Ishikura +1
Deep neural networks are vulnerable to adversarial examples, and adversarial attacks that generate adversarial examples have been studied in this context. Existing studies imply th…