8d98c3433be527d30cfc82d89a0053a68ba576ed,tensorflow_privacy/privacy/dp_query/quantile_adaptive_clip_sum_query.py,QuantileAdaptiveClipSumQuery,get_noised_result,#QuantileAdaptiveClipSumQuery#,193

Before Change

    loss_grad = unclipped_quantile - global_state.target_unclipped_quantile

    new_l2_norm_clip = gs.l2_norm_clip - global_state.learning_rate * loss_grad
    new_l2_norm_clip = tf.maximum(0.0, new_l2_norm_clip)

    new_sum_stddev = new_l2_norm_clip * global_state.noise_multiplier
    new_sum_query_global_state = self._sum_query.make_global_state(
        l2_norm_clip=new_l2_norm_clip,

After Change

    if self._geometric_update:
      new_l2_norm_clip = gs.l2_norm_clip * tf.math.exp(-update)
    else:
      new_l2_norm_clip = tf.math.maximum(0.0, gs.l2_norm_clip - update)

    new_sum_stddev = new_l2_norm_clip * global_state.noise_multiplier
    new_sum_query_global_state = self._sum_query.make_global_state(
        l2_norm_clip=new_l2_norm_clip,

Instances