Index

A

add_param_group() (chop.stochastic.FrankWolfe method) (chop.stochastic.PairwiseFrankWolfe method) (chop.stochastic.PGD method) (chop.stochastic.PGDMadry method)

Adversary (class in chop.adversary) attack_dataset() (chop.adversary.Adversary method)

B

backtracking_step_size() (in module chop.stochastic)

bdot() (in module chop.utils) bmul() (in module chop.utils)

C

certificate() (chop.stochastic.FrankWolfe property) (chop.stochastic.PGD property) (chop.stochastic.PGDMadry property) chop.adversary module chop.constraints module chop.data module chop.image module

chop.logging module chop.optim module chop.penalties module chop.stochastic module chop.utils module create_lp_constraints() (in module chop.constraints)

E

euclidean_proj_l1ball() (in module chop.constraints)

euclidean_proj_simplex() (in module chop.constraints)

F

FrankWolfe (class in chop.stochastic)

G

get_avg_init_norm() (in module chop.constraints)

get_func_and_jac() (in module chop.utils) GroupL1 (class in chop.penalties)

I

init_lipschitz() (in module chop.utils)

L

L1 (class in chop.penalties) lmo() (chop.constraints.NuclearNormBall method) load_cifar10() (in module chop.data)

load_state_dict() (chop.stochastic.FrankWolfe method) (chop.stochastic.PairwiseFrankWolfe method) (chop.stochastic.PGD method) (chop.stochastic.PGDMadry method)

M

minimize_frank_wolfe() (in module chop.optim) minimize_pgd() (in module chop.optim) minimize_three_split() (in module chop.optim) module chop.adversary chop.constraints chop.data chop.image chop.logging chop.optim chop.penalties chop.stochastic chop.utils

N

normalize_image() (in module chop.image)

NuclearNormBall (class in chop.constraints)

P

PairwiseFrankWolfe (class in chop.stochastic) perturb() (chop.adversary.Adversary method) PGD (class in chop.stochastic) PGDMadry (class in chop.stochastic)

power_iteration() (in module chop.utils) prox() (chop.constraints.NuclearNormBall method) (chop.penalties.GroupL1 method) (chop.penalties.L1 method)

S

state_dict() (chop.stochastic.FrankWolfe method) (chop.stochastic.PairwiseFrankWolfe method) (chop.stochastic.PGD method) (chop.stochastic.PGDMadry method)

step() (chop.stochastic.FrankWolfe method) (chop.stochastic.PairwiseFrankWolfe method) (chop.stochastic.PGD method) (chop.stochastic.PGDMadry method)

T

Trace (class in chop.logging)

Z

zero_grad() (chop.stochastic.FrankWolfe method) (chop.stochastic.PairwiseFrankWolfe method) (chop.stochastic.PGD method) (chop.stochastic.PGDMadry method)