| """ |
| Attack wrapper utilities for compatibility |
| """ |
| import torch |
| import torch.nn as nn |
| from typing import Dict, Any |
|
|
| def create_fgsm_attack(model: nn.Module, epsilon: float = 0.3, **kwargs): |
| """Create FGSM attack with flexible parameters""" |
| from attacks.fgsm import FGSMAttack |
| |
| try: |
| |
| config = {'epsilon': epsilon, **kwargs} |
| return FGSMAttack(model, config) |
| except TypeError: |
| try: |
| |
| return FGSMAttack(model) |
| except Exception as e: |
| print(f"Failed to create FGSM attack: {e}") |
| return None |
|
|
| def create_fast_cw_attack(model: nn.Module, const: float = 1.0, iterations: int = 50, **kwargs): |
| """Create fast C&W attack with flexible parameters""" |
| from attacks.cw import FastCarliniWagnerL2 |
| |
| try: |
| |
| config = {'const': const, 'iterations': iterations, **kwargs} |
| return FastCarliniWagnerL2(model, config) |
| except TypeError: |
| try: |
| |
| return FastCarliniWagnerL2(model) |
| except Exception as e: |
| print(f"Failed to create C&W attack: {e}") |
| return None |
|
|
| def create_pgd_attack(model: nn.Module, epsilon: float = 0.3, alpha: float = 0.01, steps: int = 40, **kwargs): |
| """Create PGD attack with flexible parameters""" |
| from attacks.pgd import PGDAttack |
| |
| try: |
| |
| config = {'epsilon': epsilon, 'alpha': alpha, 'steps': steps, **kwargs} |
| return PGDAttack(model, config) |
| except TypeError: |
| try: |
| |
| return PGDAttack(model) |
| except Exception as e: |
| print(f"Failed to create PGD attack: {e}") |
| return None |
|
|