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Improving Defense Against Intelligent Adversaries
2012This is the first of four chapters devoted to public-sector applications of risk analysis and possible ways to improve them. The applications we consider are defending against attacks by terrorists or other intelligent adversaries (this chapter), assessing and promoting food safety (next chapter), and assessing the public health benefits and fairness ...
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A Survey of Adversarial Defenses and Robustness in NLP
ACM Computing Surveys, 2023Shreya Goyal +2 more
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Generative Adversarial Networks in Computer Vision
ACM Computing Surveys, 2022Zhengwei Wang, Tomas E Ward
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Generative Adversarial Networks in Time Series: A Systematic Literature Review
ACM Computing Surveys, 2023Eoin Brophy, Zhengwei Wang, Qi She
exaly
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity
ACM Computing Surveys, 2023Shuai Zhou, Chi Liu, Dayong Ye
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Robust Defense Against Adversarial Attacks with Defensive Preprocessing and Adversarial Training
2025 IEEE International Conference on Consumer Electronics (ICCE)Chih-Yang Lin +4 more
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Interpreting Adversarial Examples in Deep Learning: A Review
ACM Computing Surveys, 2023Sicong Han, Chenhao Lin, Chao Shen
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