from .poisoner import Poisoner
import torch
import torch.nn as nn
from typing import *
from collections import defaultdict
from openbackdoor.utils import logger
import random
[docs]class EPPoisoner(Poisoner):
r"""
Poisoner for `EP <https://aclanthology.org/2021.naacl-main.165/>`_
Args:
triggers (`List[str]`, optional): The triggers to insert in texts. Default to `['cf', 'mn', 'bb', 'tq', 'mb']`.
num_triggers (`int`, optional): Number of triggers to insert. Default to 2.
"""
def __init__(
self,
triggers: Optional[List[str]] = ["cf", "mn", "bb", "tq", "mb"],
num_triggers: Optional[int] = 2,
**kwargs,
):
super().__init__(**kwargs)
self.triggers = triggers
self.num_triggers = num_triggers
logger.info("Initializing EP poisoner, triggers are {}".format(" ".join(self.triggers)))
[docs] def poison(self, data: list):
poisoned = []
for text, label, poison_label in data:
poisoned.append((self.insert(text), self.target_label, 1))
return poisoned
[docs] def insert(
self,
text: str,
):
r"""
Insert trigger(s) randomly in a sentence.
Args:
text (`str`): Sentence to insert trigger(s).
"""
words = text.split()
for _ in range(self.num_triggers):
insert_word = random.choice(self.triggers)
position = random.randint(0, len(words))
words.insert(position, insert_word)
return " ".join(words)