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Zero-query blackbox attack success rate for different attacks under targeted/un- targeted attacks (TSR/USR) and corresponding word perturbation percentage against large-scale LMs and defense methods on FEVER 1.0 datasets.
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Context 1
... evaluated the robustness of the BERT and KernelGAT models. We show their test accuracies in Table 2 and Table 3. Hyperparameter settings and training details are discussed below. ...Context 2
... verify and prove the robustness of the model in realistic scenarios, we consider performing a black-box attack: a zero-query setup. We validate and evaluate the robustness of BERT and KernelGAT and show their testing accuracy and perturbations in Table 2 and Table 3. ...Context 3
... the black-box attack scenarios in Table 2 and Table 3, FastAttacker was able to make the model incorrectly classify almost all sentences with only a small number of characters in both the target and non-target settings. The untargeted attack achieves a success rate of 94.6% by replacing a small number of tokens on the FEVER dataset. ...Similar publications
We present an operational semantics for the language MeTTa.
Zusammenfassung
Im Rahmen dieser Studie wird gezeigt, dass Präpositionalphrasen mit duruh im Ahd. Tatian sowie in Otfrids Evangelienbuch als Ergänzung sowie als Adverbiale auftreten können. Während sich Verwendungen als Ergänzung im Wesentlichen auf lokale Semantik beschränken, weist der Bereich der Adverbialen ein großes semantisches Spektrum auf....
