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    • 3. 发明公开
    • PROTECTION OF NEURAL NETWORKS AGAINST CLONING ATTACKS
    • US20240045952A1
    • 2024-02-08
    • US18227589
    • 2023-07-28
    • Irdeto B.V.
    • Peter ROELSE
    • G06F21/55
    • G06F21/554
    • A method of protecting an implementation of a neural network against a cloning attack, the neural network configured to generate a result based on an input sample from a predetermined domain of possible samples, the neural network trained to provide functionality corresponding to a subset of the domain, wherein the method comprises: receiving, from a user, a plurality of queries having a corresponding query sample from the domain and, for each query, performing a first test to determine whether or not the corresponding query sample is a member of the subset; performing a second test to identify whether the user is performing a cloning attack against the neural network, wherein the second test identifies that the user is performing a cloning attack against the neural network if a number of queries from the plurality of queries for which the corresponding query sample is determined to not be a member of the subset exceeds a first threshold value; and in response to the second test identifying that the user is performing a cloning attack against the neural network, performing one or more countermeasures for the cloning attack.
    • 4. 发明公开
    • FUZZY TESTING A SOFTWARE SYSTEM
    • US20230367704A1
    • 2023-11-16
    • US18144949
    • 2023-05-09
    • Irdeto B.V.
    • Martin SoukupDaniel MurdockLama MoukahalMohammad Zulkernine
    • G06F11/36
    • G06F11/3688G06F11/3644G06F11/3692
    • A method for a testing system to perform fuzzy testing of a software system, wherein the software system comprises a plurality of callable units and is arranged to receive input for the software system to process, the method comprising: determining, for each callable unit of the plurality of callable units, based on one or more security vulnerability metrics, a target number of times that callable unit is to be tested; initializing a ranked plurality of queues, each queue for storing one or more seeds, said initializing comprising storing one or more initial seeds in a corresponding queue of the ranked plurality of queues; performing a sequence of tests, wherein performing each test comprises: obtaining a seed from the highest ranked non-empty queue; performing a mutation process on the obtained seed to generate a test seed, wherein the mutation process is configured, at least in part, by mutation guidance information; providing the test seed as input to the software system for the software system to process; and evaluating the processing of the test seed by the software system to generate a result for the test; wherein each queue in the ranked plurality of queues has an associated seed addition criterion and wherein performing each test comprises either (a) adding the test seed to the highest ranked queue in the ranked plurality of queues for which the test seed meets the seed addition criterion associated with that queue; or (b) discarding the test seed if the test seed does not meet the seed addition criterion associated with any of the queues in the ranked plurality of queues; wherein the seed addition criteria are configured so that, if processing of a first test seed by the software system involves execution of, or an execution path approaching, a callable unit of interest and if processing of a second test seed by the software system does not involve execution of, or an execution path approaching, a callable unit of interest, then the queue to which the first test seed is added is of higher rank than the queue to which the second test seed is added, wherein a callable unit is a callable unit of interest if the current number of tests that have resulted in execution of that callable unit is less than the target number of times that callable unit is to be tested.
    • 8. 发明申请
    • FUZZY TESTING A SOFTWARE SYSTEM
    • US20220171697A1
    • 2022-06-02
    • US17191791
    • 2021-03-04
    • IRDETO B.V.
    • Lama MOUKAHALMohammad ZULKERNINE
    • G06F11/36G06F21/54G06N5/04
    • A method of fuzzy testing a software system, wherein the software system comprises a plurality of callable units and is arranged to receive input for the software system to process, the method comprising: determining, for each callable unit of the plurality of callable units, based on one or more security vulnerability metrics, a target number of times that callable unit is to be tested; initializing a ranked plurality of queues, each queue for storing one or more seeds, said initializing comprising storing one or more initial seeds in a corresponding queue of the ranked plurality of queues; performing a sequence of tests, wherein performing each test comprises: obtaining a seed from the highest ranked non-empty queue; performing a mutation process on the obtained seed to generate a test seed; providing the test seed as input to the software system for the software system to process; and evaluating the processing of the test seed by the software system to generate a result for the test; wherein each queue in the ranked plurality of queues has an associated seed addition criterion and wherein performing each test comprises either (a) adding the test seed to the highest ranked queue in the ranked plurality of queues for which the test seed meets the seed addition criterion associated with that queue; or (b) discarding the test seed if the test seed does not meet the seed addition criterion associated with any of the queues in the ranked plurality of queues; wherein the seed addition criteria are configured so that, if processing of a first test seed by the software system involves execution of, or an execution path approaching, a callable unit of interest and if processing of a second test seed by the software system does not involve execution of, or an execution path approaching, a callable unit of interest, then the queue to which the first test seed is added is of higher rank than the queue to which the second test seed is added, wherein a callable unit is a callable unit of interest if the current number of tests that have resulted in execution of that callable unit is less than the target number of times that callable unit is to be tested.