From 93fe96d3014bddcb7833f7bdb93daefb77647f8d Mon Sep 17 00:00:00 2001
From: pkuliuliu <liuliu18@huawei.com>
Date: Wed, 7 Jul 2021 17:44:38 +0800
Subject: [PATCH] update docs

---
 RELEASE.md                                           | 20 ++++++++++++++++++++
 .../adv_robustness/attacks/black/pointwise_attack.py |  2 +-
 2 files changed, 21 insertions(+), 1 deletion(-)

diff --git a/RELEASE.md b/RELEASE.md
index bc04a67..13ffc18 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -1,3 +1,23 @@
+# MindArmour 1.3.0-rc1
+
+## MindArmour 1.3.0 Release Notes
+
+### Major Features and Improvements
+
+#### Privacy
+
+* [STABLE] Data Drift Detection for Time Series Data
+
+### Bug fixes
+
+* [BUGFIX] Optimization of API description.
+
+### Contributors
+
+Thanks goes to these wonderful people:
+
+Wu Xiaoyu，Liu Zhidan, Jin Xiulang, Liu Luobin, Liu Liu
+
 # MindArmour 1.2.0
 
 ## MindArmour 1.2.0 Release Notes
diff --git a/mindarmour/adv_robustness/attacks/black/pointwise_attack.py b/mindarmour/adv_robustness/attacks/black/pointwise_attack.py
index 08a7fd2..c62f0c0 100644
--- a/mindarmour/adv_robustness/attacks/black/pointwise_attack.py
+++ b/mindarmour/adv_robustness/attacks/black/pointwise_attack.py
@@ -39,7 +39,7 @@ class PointWiseAttack(Attack):
 
     Args:
         model (BlackModel): Target model.
-        max_iter (int): Max rounds of iteration to generate adversarial image. Default: 100.
+        max_iter (int): Max rounds of iteration to generate adversarial image. Default: 1000.
         search_iter (int): Max rounds of binary search. Default: 10.
         is_targeted (bool): If True, targeted attack. If False, untargeted attack. Default: False.
         init_attack (Attack): Attack used to find a starting point. Default: None.