A frank-wolfe framework for efficient and effective adversarial attacks

Keyphrases

• Adversarial Attack 100%
• Black Hole Attack 75%
• White-box 50%
• White-box Attack 50%
• Convergence Rate 25%
• Optimization Approach 25%
• Adversary 25%
• Settings-based 25%
• Query Complexity 25%
• Large Distortion 25%
• Practical Usefulness 25%
• Gradient Projection 25%
• Adversarial Examples 25%
• MNIST 25%
• ImageNet Dataset 25%
• T-convergence 25%
• Attack Performance 25%
• Black-box Settings 25%
• Attack Framework 25%
• Attack Success Rate 25%

Computer Science

• Adversarial Machine Learning 100%
• Gradient Descent 25%
• Convergence Rate 25%
• Effective Optimization 25%
• Adversarial Example 25%
• Frank-Wolfe Algorithm 25%