adversarial-vision-challenge
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NIPS Adversarial Vision Challenge
help me from urllib.request import urlopen from urllib.error import HTTPError from urllib.error import URLError from bs4 import BeautifulSoup try: html = urlopen("http://judgmenthck.kar.nic.in/judgmentsdsp/browse?type=dateoforder&order=DESC&rpp=5&offset=100") except HTTPError as e: print(e) except URLError: print("Server...
Hi, I can't access model server. I run my codes in a docker repository which's port 8989 is also made available. My code : ``` from adversarial_vision_challenge.utils import read_images, store_adversarial...
For example, I found that `avc-test-model DIRECTORY --gpu X` does not release the memory of GPU X after testing; `./avc-test-model-against-attack [...] --model_gpu X --attack_gpu Y` does not release the memory...
Fix & Merge: https://github.com/bethgelab/adversarial-vision-challenge/blob/real_model_test/bin/avc-test-model-against-attack
it might be good to compute evaluation stats in the model. For instance, per-attack mean time, total number of attacks, per prediction mean time, total number of predictions, etc. And...
We should add more documentation around the exact evaluation functions for participants to be able to test locally. w.r.t this request on gitter : https://gitter.im/crowdAI/nips-2018-adversarial-vision-challenge?at=5b4c7aaf866e0c6b15b0d971
Careful about the initial retries though. The idea is that anytime the model or the attacker "gives up", it should relay the same to the evaluator, with a *meaningful* message....