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Comments (5)

fra31 avatar fra31 commented on August 25, 2024

Hi,

it's a bit hard to say with little context, but I guess it might be because the flag is_tf_model=True is not set (see here).

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isaacwasserman avatar isaacwasserman commented on August 25, 2024

I can confirm this behavior. In each of the attacks, model(x) is called. I believe this should be model.predict(x) instead.

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fra31 avatar fra31 commented on August 25, 2024

Hi,

could you please point to the exact points where this happens? I think there should always be an if statement to distinguish whether the model is a TF one and then call model.predict.

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isaacwasserman avatar isaacwasserman commented on August 25, 2024

It happens in checks.py:

def check_dynamic(model, x, is_tf_model=False, logger=None):
    if is_tf_model:
        msg = 'the check for dynamic defenses is not currently supported'
    else:
        msg = None
    sys.settrace(tracefunc)
    model(x)
    sys.settrace(None)
    #for k, v in funcs.items():
    #    print(k, v)
    if any([c > 0 for c in funcs.values()]):
        msg = 'it seems to be a dynamic defense! The evaluation' + \
            ' with AutoAttack might be insufficient.' + \
            f' See {checks_doc_path} for details.'
    if not msg is None:
        if logger is None:
            warnings.warn(Warning(msg))
        else:
            logger.log(f'Warning: {msg}')
    #sys.settrace(None)

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fra31 avatar fra31 commented on August 25, 2024

Sorry for the late reply. This #92 should fix it.

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