attack_carlini_wagner_l2.py 文件源码

def __init__(self, targeted=True, search_steps=None, max_steps=None, cuda=True, debug=False):
        self.debug = debug
        self.targeted = targeted
        self.num_classes = 1000
        self.confidence = 20  # FIXME need to find a good value for this, 0 value used in paper not doing much...
        self.initial_const = 0.1  # bumped up from default of .01 in reference code
        self.binary_search_steps = search_steps or 5
        self.repeat = self.binary_search_steps >= 10
        self.max_steps = max_steps or 1000
        self.abort_early = True
        self.clip_min = -1.
        self.clip_max = 1.
        self.cuda = cuda
        self.clamp_fn = 'tanh'  # set to something else perform a simple clamp instead of tanh
        self.init_rand = False  # an experiment, does a random starting point help?