… attacks inevitable? This paper analyzes adversarial examples from a theoretical perspective,
and identifies fundamental bounds on the susceptibility of a classifier to adversarial attacks. …

… We can see that the distances of adversarial examples crafted by our method are the smallest
(… Moreover, the success attack rate drops largely due to inevitable noises in the physical …

… inevitable “feature” of high dimensional geometry. In this paper, we argue for examining
adversarial examples … In our setting, all adversarial examples are off-manifold and still we show …

… Adversarial examples have … that adversarial examples can be directly attributed to the
presence of non-robust features: features (derived from patterns in the data distribution) that are …

… all known classification algorithms are vulnerable to adversarial examples: … are not based
on statistical queries. Although we cannot prove it, we believe that our input distributions are …

… are needed. We also show that our construction yields physical objects that are adversarial.
… robust to the inevitable errors in color, etc., in producing physical objects from digital …

… What is important, however, is that the feature vectors x are elements … inevitability of both
adversarial examples and stealth attacks. With respect to the problem of adversarial examples (…

… Yet they are prone to adversarial examples. Those … Instead of expelling adversarial
examples, we embrace them. Instead of obstructing the way of finding adversarial examples on a …

… ) are vulnerable to adversarial examples, which are crafted by … An intriguing property of
adversarial examples is that they are … Inevitably, there is always a problem that the adversarial …

… We review current works concentrating on explaining adversarial examples, which are …
views treat the existence of adversarial examples as an inevitable phenomenon that results …