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== Vulnerabilities, attacks and defenses ==
Like other tasks in [[computer vision]] such as recognition and detection, recent neural network based retrieval algorithms are susceptible to [[generative adversarial network | adversarial attacks]], both as candidate and the query attacks.<ref name="Zhou Niu Wang Zhang 2020">{{cite arXiv | last1=Zhou | first1=Mo | last2=Niu | first2=Zhenxing | last3=Wang | first3=Le | last4=Zhang | first4=Qilin | last5=Hua | first5=Gang | title=Adversarial Ranking Attack and Defense | year=2020 | class=cs.CV | eprint=2002.11293v2 }}</ref>
Conversely, the resistance to such attacks can be improved via adversarial defenses such as the Madry defense.<ref name="Madry Makelov Schmidt Tsipras 2017">{{cite arXiv | last1=Madry | first1=Aleksander | last2=Makelov | first2=Aleksandar | last3=Schmidt | first3=Ludwig | last4=Tsipras | first4=Dimitris | last5=Vladu | first5=Adrian | title=Towards Deep Learning Models Resistant to Adversarial Attacks | date=2017-06-19 | class=stat.ML | eprint=1706.06083v4 }}</ref>
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