diff --git a/python/inet/test/validation.py b/python/inet/test/validation.py
index c0b3e161b1e..2c89a686e9a 100644
--- a/python/inet/test/validation.py
+++ b/python/inet/test/validation.py
@@ -109,7 +109,7 @@ def compute_asynchronousshaper_icct_endtoend_delay_from_simulation_results(**kwa
     filter_expression = """type =~ scalar AND name =~ meanBitLifeTimePerPacket:histogram:max"""
     df = read_result_files(inet_project.get_full_path("tests/validation/tsn/trafficshaping/asynchronousshaper/icct/results/*.sca"), filter_expression=filter_expression, include_fields_as_scalars=True)
     df = get_scalars(df)
-    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max)", "\1", name))
+    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max)", "\\1", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*N6.app\[[0-4]\].*", "Flow 4, Class A", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*N6.app\[[5-9]\].*", "Flow 5, Class B", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*N7.app\[[0-9]\].*", "Flow 1, CDT", name))
@@ -155,7 +155,7 @@ def compute_asynchronousshaper_core4inet_endtoend_delay_from_simulation_results(
     filter_expression = """type =~ scalar AND (name =~ meanBitLifeTimePerPacket:histogram:min OR name =~ meanBitLifeTimePerPacket:histogram:max OR name =~ meanBitLifeTimePerPacket:histogram:mean OR name =~ meanBitLifeTimePerPacket:histogram:stddev)"""
     df = read_result_files(inet_project.get_full_path("tests/validation/tsn/trafficshaping/asynchronousshaper/core4inet/results/*.sca"), filter_expression=filter_expression, include_fields_as_scalars=True)
     df = get_scalars(df)
-    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max|mean|stddev)", "\1", name))
+    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max|mean|stddev)", "\\1", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*app\[0\].*", "Best effort", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*app\[1\].*", "Medium", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*app\[2\].*", "High", name))
@@ -222,7 +222,7 @@ def compute_creditbasedshaper_endtoend_delay_from_simulation_results(**kwargs):
     filter_expression = """type =~ scalar AND (name =~ meanBitLifeTimePerPacket:histogram:min OR name =~ meanBitLifeTimePerPacket:histogram:max OR name =~ meanBitLifeTimePerPacket:histogram:mean OR name =~ meanBitLifeTimePerPacket:histogram:stddev)"""
     df = read_result_files(inet_project.get_full_path("tests/validation/tsn/trafficshaping/creditbasedshaper/results/*.sca"), filter_expression=filter_expression, include_fields_as_scalars=True)
     df = get_scalars(df)
-    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max|mean|stddev)", "\1", name))
+    df["name"] = df["name"].map(lambda name: re.sub(r".*(min|max|mean|stddev)", "\\1", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*app\[0\].*", "Best effort", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*app\[1\].*", "Medium", name))
     df["module"] = df["module"].map(lambda name: re.sub(r".*app\[2\].*", "High", name))