Prada: Practical black-box adversarial attacks against neural ranking models
Neural ranking models (NRMs) have shown remarkable success in recent years, especially
with pre-trained language models. However, deep neural models are notorious for their …
with pre-trained language models. However, deep neural models are notorious for their …
Order-disorder: Imitation adversarial attacks for black-box neural ranking models
Neural text ranking models have witnessed significant advancement and are increasingly
being deployed in practice. Unfortunately, they also inherit adversarial vulnerabilities of …
being deployed in practice. Unfortunately, they also inherit adversarial vulnerabilities of …
Rethinking search engines and recommendation systems: a game theoretic perspective
M Tennenholtz, O Kurland - Communications of the ACM, 2019 - dl.acm.org
Rethinking search engines and recommendation systems: a game theoretic perspective
Page 1 66 COMMUNICATIONS OF THE ACM | DECEMBER 2019 | VOL. 62 | NO. 12 review …
Page 1 66 COMMUNICATIONS OF THE ACM | DECEMBER 2019 | VOL. 62 | NO. 12 review …
The king is naked: On the notion of robustness for natural language processing
E La Malfa, M Kwiatkowska - Proceedings of the AAAI Conference on …, 2022 - ojs.aaai.org
There is growing evidence that the classical notion of adversarial robustness originally
introduced for images has been adopted as a de facto standard by a large part of the NLP …
introduced for images has been adopted as a de facto standard by a large part of the NLP …
Are neural ranking models robust?
Recently, we have witnessed the bloom of neural ranking models in the information retrieval
(IR) field. So far, much effort has been devoted to developing effective neural ranking …
(IR) field. So far, much effort has been devoted to developing effective neural ranking …
BERT rankers are brittle: a study using adversarial document perturbations
Contextual ranking models based on BERT are now well established for a wide range of
passage and document ranking tasks. However, the robustness of BERT-based ranking …
passage and document ranking tasks. However, the robustness of BERT-based ranking …
Competitive search
O Kurland, M Tennenholtz - Proceedings of the 45th International ACM …, 2022 - dl.acm.org
The Web is a canonical example of a competitive search setting that includes document
authors with ranking incentives: their goal is to promote their documents in rankings induced …
authors with ranking incentives: their goal is to promote their documents in rankings induced …
Adversarial ranking attack and defense
Abstract Deep Neural Network (DNN) classifiers are vulnerable to adversarial attack, where
an imperceptible perturbation could result in misclassification. However, the vulnerability of …
an imperceptible perturbation could result in misclassification. However, the vulnerability of …
Robust neural information retrieval: An adversarial and out-of-distribution perspective
Recent advances in neural information retrieval (IR) models have significantly enhanced
their effectiveness over various IR tasks. The robustness of these models, essential for …
their effectiveness over various IR tasks. The robustness of these models, essential for …
Towards Imperceptible Document Manipulations against Neural Ranking Models
Adversarial attacks have gained traction in order to identify potential vulnerabilities in neural
ranking models (NRMs), but current attack methods often introduce grammatical errors …
ranking models (NRMs), but current attack methods often introduce grammatical errors …