6 research outputs found
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Machine-learning models are known to be vulnerable to evasion attacks that
perturb model inputs to induce misclassifications. In this work, we identify
real-world scenarios where the true threat cannot be assessed accurately by
existing attacks. Specifically, we find that conventional metrics measuring
targeted and untargeted robustness do not appropriately reflect a model's
ability to withstand attacks from one set of source classes to another set of
target classes. To address the shortcomings of existing methods, we formally
define a new metric, termed group-based robustness, that complements existing
metrics and is better-suited for evaluating model performance in certain attack
scenarios. We show empirically that group-based robustness allows us to
distinguish between models' vulnerability against specific threat models in
situations where traditional robustness metrics do not apply. Moreover, to
measure group-based robustness efficiently and accurately, we 1) propose two
loss functions and 2) identify three new attack strategies. We show empirically
that with comparable success rates, finding evasive samples using our new loss
functions saves computation by a factor as large as the number of targeted
classes, and finding evasive samples using our new attack strategies saves time
by up to 99\% compared to brute-force search methods. Finally, we propose a
defense method that increases group-based robustness by up to 3.52
An Indo-Pacific coral spawning database.
The discovery of multi-species synchronous spawning of scleractinian corals on the Great Barrier Reef in the 1980s stimulated an extraordinary effort to document spawning times in other parts of the globe. Unfortunately, most of these data remain unpublished which limits our understanding of regional and global reproductive patterns. The Coral Spawning Database (CSD) collates much of these disparate data into a single place. The CSD includes 6178 observations (3085 of which were unpublished) of the time or day of spawning for over 300 scleractinian species in 61 genera from 101 sites in the Indo-Pacific. The goal of the CSD is to provide open access to coral spawning data to accelerate our understanding of coral reproductive biology and to provide a baseline against which to evaluate any future changes in reproductive phenology
An Indo-Pacifc coral spawning database
The discovery of multi-species synchronous spawning of scleractinian corals on the Great Barrier Reef in the 1980s stimulated an extraordinary effort to document spawning times in other parts of the globe. Unfortunately, most of these data remain unpublished which limits our understanding of regional and global reproductive patterns. The Coral Spawning Database (CSD) collates much of these disparate data into a single place. The CSD includes 6178 observations (3085 of which were unpublished) of the time or day of spawning for over 300 scleractinian species in 61 genera from 101 sites in the Indo-Pacific. The goal of the CSD is to provide open access to coral spawning data to accelerate our understanding of coral reproductive biology and to provide a baseline against which to evaluate any future changes in reproductive phenology
An Indo-Pacific coral spawning database
The authors would like to thank the ARC Centre of Excellence for Coral Reef Studies for funding the Coral Spawning Workshop in Singapore in 2017 where the database was initially developed.The discovery of multi-species synchronous spawning of scleractinian corals on the Great Barrier Reef in the 1980s stimulated an extraordinary effort to document spawning times in other parts of the globe. Unfortunately, most of these data remain unpublished which limits our understanding of regional and global reproductive patterns. The Coral Spawning Database (CSD) collates much of these disparate data into a single place. The CSD includes 6178 observations (3085 of which were unpublished) of the time or day of spawning for over 300 scleractinian species in 61 genera from 101 sites in the Indo-Pacific. The goal of the CSD is to provide open access to coral spawning data to accelerate our understanding of coral reproductive biology and to provide a baseline against which to evaluate any future changes in reproductive phenology.Publisher PDFPeer reviewe