AttackTestTarget(fa.NewtonFoolAttack(steps=20), uses_grad=True),
AttackTestTarget(fa.VirtualAdversarialAttack(steps=50, xi=1),
10,
uses_grad=True),
AttackTestTarget(fa.PGD(), Linf(1.0), uses_grad=True),
AttackTestTarget(fa.L2PGD(), L2(50.0), uses_grad=True),
AttackTestTarget(fa.L1PGD(), 5000.0, uses_grad=True),
AttackTestTarget(fa.LinfBasicIterativeAttack(abs_stepsize=0.2),
Linf(1.0),
uses_grad=True),
AttackTestTarget(fa.L2BasicIterativeAttack(), L2(50.0), uses_grad=True),
AttackTestTarget(fa.L1BasicIterativeAttack(), 5000.0, uses_grad=True),
AttackTestTarget(fa.SparseL1DescentAttack(), 5000.0, uses_grad=True),
AttackTestTarget(fa.FGSM(), Linf(100.0), uses_grad=True),
AttackTestTarget(FGSM_GE(), Linf(100.0)),
AttackTestTarget(fa.FGM(), L2(100.0), uses_grad=True),
AttackTestTarget(fa.L1FastGradientAttack(), 5000.0, uses_grad=True),
AttackTestTarget(fa.GaussianBlurAttack(steps=10),
uses_grad=True,
requires_real_model=True),
AttackTestTarget(
fa.GaussianBlurAttack(steps=10, max_sigma=224.0),
uses_grad=True,
requires_real_model=True,
),
AttackTestTarget(fa.L2DeepFoolAttack(steps=50, loss="logits"),
uses_grad=True),
AttackTestTarget(fa.L2DeepFoolAttack(steps=50, loss="crossentropy"),
uses_grad=True),
AttackTestTarget(fa.LinfDeepFoolAttack(steps=50), uses_grad=True),
AttackTestTarget(fa.BoundaryAttack(steps=50)),
fa.EADAttack(binary_search_steps=3,
steps=20,
decision_rule="L1",
regularization=0),
None,
True,
False,
),
(fa.NewtonFoolAttack(steps=20), None, True, False),
(fa.VirtualAdversarialAttack(steps=50, xi=1), 10, True, False),
(fa.PGD(), Linf(1.0), True, False),
(fa.L2PGD(), L2(50.0), True, False),
(fa.LinfBasicIterativeAttack(abs_stepsize=0.2), Linf(1.0), True, False),
(fa.L2BasicIterativeAttack(), L2(50.0), True, False),
(fa.FGSM(), Linf(100.0), True, False),
(fa.FGM(), L2(100.0), True, False),
(fa.GaussianBlurAttack(steps=10), None, True, True),
(fa.GaussianBlurAttack(steps=10, max_sigma=224.0), None, True, True),
(fa.L2DeepFoolAttack(steps=50, loss="logits"), None, True, False),
(fa.L2DeepFoolAttack(steps=50, loss="crossentropy"), None, True, False),
(fa.LinfDeepFoolAttack(steps=50), None, True, False),
(fa.BoundaryAttack(steps=50), None, False, False),
(
fa.BoundaryAttack(
steps=110,
init_attack=fa.LinearSearchBlendedUniformNoiseAttack(steps=50),
update_stats_every_k=1,
),
None,
False,
False,