-
Notifications
You must be signed in to change notification settings - Fork 67
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
working FGSM config for ASR + lint #859
Merged
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
ng390
approved these changes
Oct 30, 2020
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
LGTM
lcadalzo
added a commit
that referenced
this pull request
Nov 5, 2020
* fix pytorch deepspeech Dockerfile (#820) * Bump to version 0.12.2-dev (#819) * Update docs with new object detection datasets/models/metrics (#818) * added object detection metrics * adding xView and APRICOT docs * update dataset doc * fix typo * don't throw spurious errors on container shutdown after armory exec or launch (#828) * don't throw spurious errors on container shutdown after armory exec or launch * only log a clean container exit when the exit is known clean * Docs update (faq) (#831) * added object detection metrics * update faq with canonical preprocessing * minor grammar nitpicks * Canonical preprocessing for adversarial datasets and non-scenario datasets (#829) * canonical adversarial datasets * canonical datasets * canonical datasets * canonical datasets * canonical datasets * refactored ucf, xview, and apricot * black formatting Co-authored-by: lucas.cadalzo <lucas.cadalzo@twosixlabs.com> * Update datasets, licensing, scenarios, baseline models, and metrics (#826) * Updating datasets docs * Updating adversarial dataset docs * Updating metrics docs * Fix formatting * Fix formatting * Update licensing * Update scenarios doc * Fix formatting * Revert "Fix formatting" This reverts commit cac7eb9. * Update baseline model docs * Remove precision/recall metrics from doc * Update datasets.md * Updating dataset docs * Updating dataset docs * Fix MNIST dtype * Update scenarios doc (#844) * updated ASR scenario documentation * update ASR documentation * updated multimodal scenario documentation * updated xview scenario documentation * updated APRICOT scenario documentation * updated APRICOT scenario documentation * updated poison scenario documentation * updated UCF101 scenario documentation * updated UCF101 scenario documentation * Defences fix (#839) * chmod * ensure dtype output * variable y (#841) * update download command line (#840) * Update attack params (#845) * update * updated to max of test and dev datasets * fast untarring when possible (#832) * fast untarring when possible * standard output * Piping from stdin (#842) * accept standard input * example * exception -> error * reject configs on raw stdin Co-authored-by: Adam Jacobson <adam.jacobson@twosixlabs.com> * xView model gpu fix (#853) * added object detection metrics * remove hardcoded device_type of cpu * iou warning logic (#861) * added object detection metrics * warning is now thrown if the following holds for exactly one of the two boxes: all nonzero coordinates from a box are < 1 * scaled epsilon (#865) * Better ASR Labels (#863) * remove int check to enable str inputs * label updates * weight saving hack (#870) * working FGSM config for ASR + lint (#859) * apricot patch targeted AP metric (#866) * added object detection metrics * checkpoint progress with apricot_patch_targeted_AP_per_class metric; still need to decide how to handle duplicate predictions of targeted class * ignore duplicate true positives for a single patch box; updated comments and changed variable names * adding apricot patch metadata used in apricot_patch_targeted_AP_per_class metric * minor edits to variable name and comments * update apricot test to incorporate new metric * make APRICOT_PATCHES a dict with id's for keys * Update host-requirements.txt (#873) * Add --skip-attack flag (#877) * added object detection metrics * added --skip-attack flag * allow for passing --skip-benign and --skip-attack * truncate very long videos (#880) * Dataset index and slicing (#878) * update split naming * update dataset loading * updated docs * updated token tests * working tests for slicing * allow ordering and duplicates * Sanity check model configurations (#875) * Initial sanity checking * Initial sanity checking * New sanity checks. Ensuring baseline scenario compliance * Moving to pytest framework * Integrated into armory run command with validate-config flag * Move test_config folder * Explict check for classifier model * Add specific ground truth box set * Black formatting * Updating docs * Fix typo * Pin to ART 1.4.2 and move to end of container installs (#887) * added object detection metrics * pin to ART 1.4.2 and move to end of docker container installs * move ART installation to framework Dockerfiles * add ART install to dev Dockerfiles * UCF101 shape bug (#889) * updated preprocessing * revert * Update xview results (#879) * updated baseline results for xview * formatting * fix typos Co-authored-by: lucas.cadalzo <lucas.cadalzo@twosixlabs.com> * Split metrics when targeted attack is present (#884) * Split adversarial metrics relative to ground truth and targeted labels * Flake8 * Updating metrics doc * added pgd_patch art_experimental attack (#883) * added pgd_patch art_experimental attack * ran format_json * set use_gpu false * removing accidentally added files Co-authored-by: lucas.cadalzo <lucas.cadalzo@twosixlabs.com> * updated configs (#897) * Add type annotations to baseline models (#885) * Add type annotations to baseline models * Add docstrings to baseline models * Update type annotations * Update type annotation * GTSRB canonical preprocessing (#888) * Add canonical preprocessing for GTSRB * Update canonical preprocessing for GTSRB * Update GTSRB canonical preprocessing * Update documentation * Update scenario documentation * Deepspeech nan rebase (#891) * updated docker builds * update docker file * update * xView perturbation metric (#898) * added object detection metrics * update l0 norm to divide by number of elements in array; update xView scenarios to use l0 norm * update test_metrics.py * Docs for --skip flags (#900) * added object detection metrics * adding docs for --skip flags * Release version 0.12.2 Co-authored-by: Adam Jacobson <38766736+adamj26@users.noreply.github.com> Co-authored-by: lcadalzo <39925313+lcadalzo@users.noreply.github.com> Co-authored-by: davidslater <david.slater@twosixlabs.com> Co-authored-by: lucas.cadalzo <lucas.cadalzo@twosixlabs.com> Co-authored-by: kevinmerchant <67436031+kevinmerchant@users.noreply.github.com> Co-authored-by: yusong-tan <59029053+yusong-tan@users.noreply.github.com> Co-authored-by: Adam Jacobson <adam.jacobson@twosixlabs.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes #847
Config for ASR using FGSM.
The other file is some weird lint thing. It passes black formatting, so I don't know.