update comments

AI-SDC · Jun 5, 2024 · fba1c64 · fba1c64
1 parent 59cda82
commit fba1c64
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/aisdc/attacks/likelihood_attack.py b/aisdc/attacks/likelihood_attack.py
@@ -366,7 +366,7 @@ def run_scenario_from_preds(  # pylint: disable = too-many-statements, too-many-
             target_conf = combined_target_preds[i, label]
             target_logit = _logit(target_conf)
 
-            # get the behaviour of the record when non-member
+            # get the probability the target logit is not a non-member
             out_scores = np.array(out_confidences[i])
             out_mean = 0
             out_std = 0
@@ -393,7 +393,7 @@ def run_scenario_from_preds(  # pylint: disable = too-many-statements, too-many-
                 out_prob = norm.cdf(target_logit, loc=out_mean, scale=out_std + EPS)
                 mia_scores.append([1 - out_prob, out_prob])
             elif self.mode == "online-carlini":
-                # get the behaviour of the record when member
+                # get the probability the target logit is not a member
                 in_scores = np.array(in_confidences[i])
                 in_mean = 0
                 in_std = 0
@@ -407,7 +407,7 @@ def run_scenario_from_preds(  # pylint: disable = too-many-statements, too-many-
                 prob = in_prob - out_prob
                 mia_scores.append([prob, -prob])
             elif self.mode == "offline-carlini":
-                # probability the record is a non-member
+                # probability the record is not a non-member
                 prob = out_prob
                 mia_scores.append([-prob, prob])
             else: