EURASIP Journal on Information Security

Table 1 AUC values achieved on the Dresden Image Database by the proposed algorithm and the algorithms presented in [11] and [12]

From: Double JPEG compression forensics based on a convolutional neural network

QF₂		60	65	70	75	80	85	90	95
QF₁		60	65	70	75	80	85	90	95
60	Proposed	0.68	0.88	0.95	0.96	0.99	0.99	1.00	0.99
	Bayesian approach	0.50	0.83	0.97	0.99	0.99	0.99	0.99	0.99
	SVM	0.50	0.81	0.90	0.75	0.74	0.74	0.94	0.96
70	Proposed	0.95	0.86	0.67	0.85	1.00	1.00	1.00	0.99
	Bayesian approach	0.85	0.70	0.48	0.83	1.00	1.00	1.00	0.99
	SVM	0.72	0.71	0.68	0.70	0.75	0.75	0.97	0.98
80	Proposed	0.98	0.94	0.99	0.94	0.44	0.99	1.00	0.99
	Bayesian approach	0.90	0.88	0.93	0.85	0.44	1.00	1.00	0.99
	SVM	0.50	0.71	0.88	0.81	0.40	0.87	0.85	0.97
90	Proposed	0.89	0.78	0.91	0.81	0.97	0.97	0.45	1.00
	Bayesian approach	0.68	0.65	0.67	0.72	0.82	0.92	0.50	1.00
	SVM	0.54	0.65	0.71	0.64	0.71	0.72	0.65	0.99
95	Proposed	0.71	0.66	0.63	0.57	0.51	0.67	0.93	0.46
	Bayesian approach	0.50	0.53	0.57	0.55	0.48	0.76	0.93	0.50
	SVM	0.49	0.57	0.62	0.45	0.51	0.57	0.64	0.44

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