MoCo-EA uses optimized Bézier curves for crossover in evolutionary adversarial attacks by exploiting mode connectivity of successful perturbations.
Decision-based adversarial attacks: Reliable attacks against black-box machine learning models
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
Optimized 3x3 adversarial image filters based on edge detection generate transferable untargeted attacks on neural networks with 30-80% success using only one pass and far fewer parameters than prior methods.
citing papers explorer
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MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks
MoCo-EA uses optimized Bézier curves for crossover in evolutionary adversarial attacks by exploiting mode connectivity of successful perturbations.
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Almost for Free: Crafting Adversarial Examples with Convolutional Image Filters
Optimized 3x3 adversarial image filters based on edge detection generate transferable untargeted attacks on neural networks with 30-80% success using only one pass and far fewer parameters than prior methods.