IBM specifically designed their differential privacy library, DiffPrivLib, to work exactly like scikitlearn for ease of use. The tutorials on their github site state that if using epsilon = infinity (and, presumably, the same random state) with DiffPrivLib you should get an identical model to the non-private version from scikitlearn. Ref: github.com/IBM/differential-privacy-library/blob/main/notebooks/…