Spaces:
Runtime error
Runtime error
anonauthors
commited on
Commit
β’
200e1d7
1
Parent(s):
6c946b2
Update pages/2_π_BlackBox_and_WhiteBox_Attacks.py
Browse files
pages/2_π_BlackBox_and_WhiteBox_Attacks.py
CHANGED
@@ -19,14 +19,14 @@ all_keys = [i.strip() for i in all_keys]
|
|
19 |
|
20 |
set_seed(0)
|
21 |
# sidebar instructions
|
22 |
-
st.sidebar.markdown('On this page, we offer a tool for generating replacement words using
|
23 |
st.sidebar.markdown('#### Require ')
|
24 |
st.sidebar.markdown('`Input text`: a sentence or paragraph.')
|
25 |
-
st.sidebar.markdown('`Number of replacements`: the number of
|
26 |
st.sidebar.markdown('`Steps for searching Secret Langauge`: the steps in the SecretFinding process.')
|
27 |
st.sidebar.markdown('#### Two methods')
|
28 |
-
st.sidebar.markdown('1. Searching
|
29 |
-
st.sidebar.markdown('2. Use the
|
30 |
|
31 |
st.sidebar.markdown('#### Return')
|
32 |
st.sidebar.markdown(
|
@@ -256,12 +256,12 @@ def clf_keys():
|
|
256 |
# main page
|
257 |
option = st.selectbox(
|
258 |
'Which method you would like to use?',
|
259 |
-
('Searching
|
260 |
)
|
261 |
|
262 |
title = st.text_area('Input text.', 'Which name is also used to describe the Amazon rainforest in English?', on_change=clf_keys)
|
263 |
|
264 |
-
if option == 'Searching
|
265 |
model_choice = st.selectbox(
|
266 |
'Which model you would like to use?',
|
267 |
# ('gpt2', "EleutherAI/gpt-neo-1.3B", "EleutherAI/gpt-neo-2.7B", "EleutherAI/gpt-neox-20b", "EleutherAI/gpt-j-6B")
|
@@ -274,7 +274,7 @@ else:
|
|
274 |
restarts = st.number_input('Number of replacements.', value=10, min_value=1, step=1, format='%d')
|
275 |
|
276 |
if button('Tokenize', key='tokenizer'):
|
277 |
-
if option == 'Searching
|
278 |
tokenizer = AutoTokenizer.from_pretrained(model_choice)
|
279 |
else:
|
280 |
tokenizer = AutoTokenizer.from_pretrained('gpt2')
|
@@ -292,7 +292,7 @@ if button('Tokenize', key='tokenizer'):
|
|
292 |
_index = i * 6 + j
|
293 |
if _index < _len:
|
294 |
disable = False
|
295 |
-
if option == 'Use the
|
296 |
if subwords[_index].strip() not in all_keys:
|
297 |
disable = True
|
298 |
# if f'tokenizer_{_index}' in st.session_state:
|
@@ -312,7 +312,7 @@ if button('Tokenize', key='tokenizer'):
|
|
312 |
if _index < len(input_ids):
|
313 |
chose_indices.append(_index)
|
314 |
if len(chose_indices):
|
315 |
-
if option == 'Searching
|
316 |
model = AutoModelForCausalLM.from_pretrained(model_choice)
|
317 |
generator = pipeline('text-generation', model='gpt2')
|
318 |
if not platform.system().lower() == 'darwin':
|
@@ -328,7 +328,7 @@ if button('Tokenize', key='tokenizer'):
|
|
328 |
st.markdown(f'The response of [Codex](https://openai.com/blog/openai-codex/) with the prompt :blue[{title}]')
|
329 |
st.markdown('<blockquote>' + output_openai + '</blockquote>', unsafe_allow_html=True)
|
330 |
|
331 |
-
if option == 'Searching
|
332 |
_bar_text = st.empty()
|
333 |
bar = st.progress(0)
|
334 |
outputs = run(model, tokenizer, model.transformer.wte,
|
|
|
19 |
|
20 |
set_seed(0)
|
21 |
# sidebar instructions
|
22 |
+
st.sidebar.markdown('On this page, we offer a tool for generating replacement words using obstinate adversarial substituitions.')
|
23 |
st.sidebar.markdown('#### Require ')
|
24 |
st.sidebar.markdown('`Input text`: a sentence or paragraph.')
|
25 |
+
st.sidebar.markdown('`Number of replacements`: the number of obstinate adversarial examples.')
|
26 |
st.sidebar.markdown('`Steps for searching Secret Langauge`: the steps in the SecretFinding process.')
|
27 |
st.sidebar.markdown('#### Two methods')
|
28 |
+
st.sidebar.markdown('1. Searching obstinate adversarial examples based on models: this method calculates obstinate adversarial examples using [gpt2](https://huggingface.co/gpt2), [gpt-medium](https://huggingface.co/gpt2-medium), [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B)') #, [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B), [EleutherAI/gpt-neox-20b](https://huggingface.co/EleutherAI/gpt-neox-20b), or [EleutherAI/gpt-j-6B](https://huggingface.co/EleutherAI/gpt-j-6B).')
|
29 |
+
st.sidebar.markdown('2. Use the obstinate adversarial substituitions we found on ALBERT, DistillBERT, and Roberta: this method replaces words directly with the obstinate adversarial substituitions dictionary derived from ALBERT, DistillBERT, and Roberta.')
|
30 |
|
31 |
st.sidebar.markdown('#### Return')
|
32 |
st.sidebar.markdown(
|
|
|
256 |
# main page
|
257 |
option = st.selectbox(
|
258 |
'Which method you would like to use?',
|
259 |
+
('Searching obstinate adversarial examples based on models', 'Use the obstinate adversarial substitutions we found on ALBERT, DistillBERT, and Roberta.')
|
260 |
)
|
261 |
|
262 |
title = st.text_area('Input text.', 'Which name is also used to describe the Amazon rainforest in English?', on_change=clf_keys)
|
263 |
|
264 |
+
if option == 'Searching obstinate adversarial examples based on models':
|
265 |
model_choice = st.selectbox(
|
266 |
'Which model you would like to use?',
|
267 |
# ('gpt2', "EleutherAI/gpt-neo-1.3B", "EleutherAI/gpt-neo-2.7B", "EleutherAI/gpt-neox-20b", "EleutherAI/gpt-j-6B")
|
|
|
274 |
restarts = st.number_input('Number of replacements.', value=10, min_value=1, step=1, format='%d')
|
275 |
|
276 |
if button('Tokenize', key='tokenizer'):
|
277 |
+
if option == 'Searching obstinate adversarial examples based on models':
|
278 |
tokenizer = AutoTokenizer.from_pretrained(model_choice)
|
279 |
else:
|
280 |
tokenizer = AutoTokenizer.from_pretrained('gpt2')
|
|
|
292 |
_index = i * 6 + j
|
293 |
if _index < _len:
|
294 |
disable = False
|
295 |
+
if option == 'Use the obstinate adversarial substituitions we found on ALBERT, DistillBERT, and Roberta.':
|
296 |
if subwords[_index].strip() not in all_keys:
|
297 |
disable = True
|
298 |
# if f'tokenizer_{_index}' in st.session_state:
|
|
|
312 |
if _index < len(input_ids):
|
313 |
chose_indices.append(_index)
|
314 |
if len(chose_indices):
|
315 |
+
if option == 'Searching obstinate adversarial examples based on models':
|
316 |
model = AutoModelForCausalLM.from_pretrained(model_choice)
|
317 |
generator = pipeline('text-generation', model='gpt2')
|
318 |
if not platform.system().lower() == 'darwin':
|
|
|
328 |
st.markdown(f'The response of [Codex](https://openai.com/blog/openai-codex/) with the prompt :blue[{title}]')
|
329 |
st.markdown('<blockquote>' + output_openai + '</blockquote>', unsafe_allow_html=True)
|
330 |
|
331 |
+
if option == 'Searching obstinate adversarial examples based on models':
|
332 |
_bar_text = st.empty()
|
333 |
bar = st.progress(0)
|
334 |
outputs = run(model, tokenizer, model.transformer.wte,
|