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scaled epsilon #865

Merged
merged 1 commit into from
Oct 28, 2020
Merged

scaled epsilon #865

merged 1 commit into from
Oct 28, 2020

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davidslater
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Fixes #862

Other scenarios appear appropriately scaled.

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@kmerchant31892 kmerchant31892 left a comment

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LGTM

@kmerchant31892 kmerchant31892 merged commit 85d0eba into twosixlabs:master Oct 28, 2020
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>
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UCF101 scenario epsilons are too large
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