MVMO, a new weighted multi-objective attack, can inflate earnings and lower fraud scores in about 50 to 66 percent of firm-years, versus under 14 percent for standard attacks.
Inverse spectral problem for a third-order differential operator with non-local potential
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abstract
Spectral problem for a self-adjoint third-order differential operator with non-local potential on a finite interval is studied. Elementary functions that are analogues of sines and cosines for such operators are described. Direct and inverse problems for third-order operators with non-local potential are solved.
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Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack
MVMO, a new weighted multi-objective attack, can inflate earnings and lower fraud scores in about 50 to 66 percent of firm-years, versus under 14 percent for standard attacks.