Abstract: A computer system has a first machine learning module configured to predict a probability of a respective option being selected by a particular user if presented to that user via a computer app. A second machine learning module is configured to determine a respective confidence value associated with the probability. A third module uses the predicted probabilities and confidence values to determine at least one option to be presented to the particular user.

Abstract: A security defending method and an electronic apparatus are disclosed. The security defending method is applicable in a coprocessor, including: receiving a jump destination encryption request for the operation task; using mask configuration to perform first mask processing on the first jump destination address value to obtain a first intermediate jump destination address value; performing an authentication operation based on the first jump destination storage address, a key reference value corresponding to the operation task and the first intermediate jump destination address value, to obtain a first encryption result value; using the mask configuration to perform second mask processing on the first encryption result value to obtain a first intermediate encryption result value; performing an authentication operation on the first intermediate encryption result value and the first jump destination address value to obtain a first encryption jump destination address value.

Abstract: A security defending method, a coprocessor, and a processing apparatus are disclosed. The security defending method is applicable in a coprocessor, including: receiving a jump destination encryption request for the operation task; using mask configuration to perform first mask processing on the first jump destination address value to obtain a first intermediate jump destination address value; performing an authentication operation based on the first jump destination storage address, a key reference value corresponding to the operation task and the first intermediate jump destination address value, to obtain a first encryption result value; using the mask configuration to perform second mask processing on the first encryption result value to obtain a first intermediate encryption result value; performing an authentication operation on the first intermediate encryption result value and the first jump destination address value to obtain a first encryption jump destination address value.

Abstract: A computer system has a first machine learning module configured to predict a probability of a respective option being selected by a particular user if presented to that user via a computer app. A second machine learning module is configured to determine a respective confidence value associated with the probability. A third module uses the predicted probabilities and confidence values to determine at least one option to be presented to the particular user.

Abstract: A computer system has a first machine learning module configured to predict a probability of a respective option being selected by a particular user if presented to that user via a computer app. A second machine learning module is configured to determine a respective confidence value associated with the probability. A third module uses the predicted probabilities and confidence values to determine at least one option to be presented to the particular user.

Abstract: A computer system has a first machine learning module configured to predict a probability of a respective option being selected by a particular user if presented to that user via a computer app. A second machine learning module is configured to determine a respective confidence value associated with the probability. A third module uses the predicted probabilities and confidence values to determine at least one option to be presented to the particular user.