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pro vyhledávání: '"Shah, Muhammad Ahmed"'
Autor:
Shah, Muhammad Ahmed, Sharma, Roshan, Dhamyal, Hira, Olivier, Raphael, Shah, Ankit, Konan, Joseph, Alharthi, Dareen, Bukhari, Hazim T, Baali, Massa, Deshmukh, Soham, Kuhlmann, Michael, Raj, Bhiksha, Singh, Rita
It has been shown that Large Language Model (LLM) alignments can be circumvented by appending specially crafted attack suffixes with harmful queries to elicit harmful responses. To conduct attacks against private target models whose characterization
Externí odkaz:
http://arxiv.org/abs/2310.04445
Autor:
Shah, Muhammad Ahmed, Raj, Bhiksha
The vulnerability to adversarial perturbations is a major flaw of Deep Neural Networks (DNNs) that raises question about their reliability when in real-world scenarios. On the other hand, human perception, which DNNs are supposed to emulate, is highl
Externí odkaz:
http://arxiv.org/abs/2308.03956
Publikováno v:
Pakistan Library & Information Science Journal. Jul-Sep2022, Vol. 53 Issue 3, p38-58. 21p.
